From 08da58ea1927412f1a33b0817f1d3de4d2806590 Mon Sep 17 00:00:00 2001 From: Abdullah Aziz Date: Fri, 4 Oct 2024 16:54:53 +0200 Subject: [PATCH] SLU Wastewater Dashboards Refactoring (#1196) * Modified wastewater dashboard (English site) * Modified wastewater dashboard (Swedish) + fixes * Added RSV dashboard, Updated Plots * Added commentary to RSV * Wastewater Dashboards updated (SLU) * Fixed review comments * Fixed updating/historic front * Changed fridays with Mondays * imgaes updated * Updating thumb images * Added RSV topic * Fixed influenza image * SLU wasterwater visualization and RSV topic * Fixed background page links and sites table * Fixed links for influenza dashboards * Fixed links for swedish influenza dashboards * Fixes links for covis dashboard * Fixed rsv topic text * fixed rsv links * fixed dynamic content and links * Fixed rsv file name and hide topics on swedish version --- .../dashboards/covid_quantification/_index.md | 130 ++++++++++++++++++ .../covid_quantification/covid_quant_GU.md | 23 +--- .../covid_quantification/covid_quant_KTH.md | 14 +- .../historic_covid_SLU.md} | 43 ++---- .../covid_quantification/historic_covid_gu.md | 3 +- .../historic_orebro_umea.md | 3 +- .../historic_stockholm.md | 3 +- .../enteric_quantification/_index.md | 17 ++- .../historic_enteric_gu.md | 7 +- .../influenza_quantification/_index.md | 94 +++++++++++++ .../historic_influenza_SLU.md} | 30 ++-- .../english/dashboards/rsv_quantification.md | 76 ++++++++++ .../english/dashboards/wastewater/_index.md | 73 ---------- .../wastewater/covid_quantification/_index.md | 21 --- .../dashboards/wastewater_background.md | 52 +++++++ content/english/topics/rsv.md | 23 ++++ content/svenska/dashboards/RECOVAC.md | 1 + .../dashboards/covid_quantification/_index.md | 128 +++++++++++++++++ .../covid_quantification/covid_quant_GU.md | 23 ++-- .../covid_quantification/covid_quant_KTH.md | 15 +- .../historic_covid_SLU.md} | 41 ++---- 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content/svenska/dashboards/wastewater_background.md delete mode 100644 static/dashboard_thumbs/wastewater.jpg create mode 100644 static/dashboard_thumbs/wastewater_enteric_virus.png create mode 100644 static/dashboard_thumbs/wastewater_influenza.png create mode 100644 static/dashboard_thumbs/wastewater_rsv.png create mode 100644 static/dashboard_thumbs/wastewater_sars-cov2.png create mode 100644 static/topic_thumbs/topic_rsv.jpg diff --git a/content/english/dashboards/covid_quantification/_index.md b/content/english/dashboards/covid_quantification/_index.md new file mode 100644 index 000000000..144670c99 --- /dev/null +++ b/content/english/dashboards/covid_quantification/_index.md @@ -0,0 +1,130 @@ +--- +title: SARS-CoV-2 quantification +banner: /dashboard_thumbs/wastewater_sars-cov2.png +description: Explore SARS-CoV-2 levels in wastewater across Sweden. Weekly data from SLU-SEEC tracks COVID-19 trends, covering 43% of the population, and aids in outbreak prediction. +menu: + dashboard_menu: + identifier: wastewater_SARS-CoV-2_quantification + name: "Wastewater: SARS-CoV-2 Quantification" +plotly: true +aliases: + - /dashboards/wastewater/covid_quant_slu/ + - /dashboards/wastewater/covid_quantification/ + - /dashboards/wastewater/covid_quantification/covid_quant_slu/ +dashboards_topics: [Wastewater Surveillance, COVID-19, Infectious diseases, Epidemiology] +data_status: "updating" +--- + + +## Introduction + +Severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) is a positive-sense single-stranded RNA virus that causes COVID-19 (coronavirus disease 2019), the respiratory illness responsible for the COVID-19 pandemic. SARS-CoV-2 was first identified in the city of Wuhan, Hubei, China, and the World Health Organization (WHO) declared a public health emergency of international concern from January 30, 2020, to May 5, 2023. For more information about symptoms, risks and vaccination against SARS-CoV-2, visit the corresponding site of the [Swedish Public Health Agency](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/covid-19/). + +Beside respiratory droplets and aerosols, SARS-CoV-2 viral particles, like many other human coronaviruses, are also excreted in the stools of infected individuals. This enables the possibility for SARS-CoV-2 virus to be detected in wastewater and population-level infection trends of COVID-19 to be followed by wastewater-based epidemiology (WBE). + +The data presented on this page is generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The data and visualisation on this page are usually updated weekly, typically on Mondays. Please refer to the [Methods](#methods) for details on measurements and calculations. All related dashboards can be found on the [Wastewater Surveillance](/dashboards/topics/wastewater-surveillance/) page, and sampling sites and project details are available in the [Wastewater Monitoring Background](/dashboards/wastewater_background/). + +
+Important Note:
+The scores provided in the dataset and depicted in the plot below are preliminary, so corrections and changes may occur. Data and information about the group on this dashboard are updated frequently, so please check back regularly to stay up to date.
Please note that although the same methods are used for all cities shown on this tab, differences in the wastewater collection systems and populations of different cities might bias direct comparisons between cities. +
+ +## Visualisations + +
Last updated:
+ + + + + +
+ Rotating your phone may improve graph layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_combined_slu_regular.json" height="800px" >}}
+
+ +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_regular.py). + +## Commentary from the research group + +
Date:
Commentary:
+ +{{< ww_dynamic_content >}} + +## Reports from the research group + +The group provide reports to summarise their latest findings. The latest report is available [here](https://blobserver.dc.scilifelab.se/blob/Latest_weekly_report_SEEC-SLU.pdf) (only available in Swedish). + +## Dataset + +**Contact:** and + +**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file.](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data are available from week 38 of 2020; updated weekly. + +**How to cite the dataset:** + +Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. . + +## Methods + +Wastewater is collected from several different treatment plants around the country. For more information about the treatment plants, visit the page about [the background of wastewater surveillance](/dashboards/wastewater_background/). For most cities represented on this page, raw, untreated wastewater samples that are representative of a single day are collected by flow compensated samplers at the wastewater treatment plants (WWTP). Uppsala is the exception, with all measurements since week 16 of 2021 instead representing 1 week. In Uppsala, samples are collected daily, and then combined flow-proportionally into one composite weekly sample for the purpose of analyses. + +The freshly collected samples are processed according to standard methodologies. For samples collected up to and including week 18 of 2021, viral particles were concentrated using the electronegative filtration method ([Ahmed _et al._, 2020](https://www.sciencedirect.com/science/article/pii/S004896972033480X)). Since week 19 of 2021, the viral genomic material has instead been concentrated and extracted by the direct capture method, using the Maxwell RSC Enviro TNA kit (Promega). + +Absolute quantification of the copy numbers of the SARS-CoV-2 genome is performed using One-Step RT-qPCR. Until week 31 of 2023 the quantification of the viral genomes was performed using the [SARS-CoV-2 specific N1 assay from the Centers for Disease Control and Prevention (CDC)](https://www.fda.gov/media/134922/download). From week 32 of 2023 quantification is performed using the Flu SC2 Multiplex Assay (CDC). To correct for variations in population size and wastewater flow, the pepper mild mottle virus (PMMoV) is quantified using a modified version of the assay of [Zhang _et al._ (2006)](https://doi.org/10.1371/journal.pbio.0040003). PMMoV is an abundant RNA virus in human faeces and serves as an estimator of human faecal content ([Symonds _et al._, 2019](https://doi.org/10.1371/journal.ppat.1007639)). For more details about the sample processing method, and the evaluation of the use of the PMMoV normalisation method for Swedish wastewater, please refer to the corresponding publication: [Isaksson _et al._ (2022)](https://www.mdpi.com/2076-3298/9/3/39). + +The data in the graphs and datafile is presented in three different formats: +- **PMMoV normalised SARS-CoV2 content** represents the ratio of the copy numbers of SARS-CoV2 and PMMoV measured by the SARS-CoV2 assay and PMMoV-assays, respectively, multiplied by 1000. As the SARS-CoV2 assay provides proxies for SARS-CoV2 virus content in the wastewater and PMMoV is a proxy of the faecal content (which is related to the contributing population), the ratio of the two can be considered to be a proxy for the prevalence of SARS-CoV2 infections in the population of the wastewater catchment area. +- **SARS-CoV2 genome copies concentration** presents the SARS-CoV2 copy number concentration measured in the wastewater. These data is influenced by the setup of the different wastewater collection nsystems and is therefore not suitable for comparison betwwen sites. The virus concentrations in the wastewater are also influenced by the weather events that impact wastewater flow (e.g., heavy rain or snow melt). +- **SARS-CoV2 genome copies/day/inhabitant** represents the daily virus amount estimated in the wastewater normalized for the number of inhabitants connected to the system. These data allows for comparison of different sites but some delays in the presentation of these data may occur compared to the other. + +**How to cite the method:** + +Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. _Environments_, _9_, 39. . + +## Related data + +- SARS-CoV-2 variant analysis from wastewater (data available in the European Nucleotide Archive (ENA) under project number [PRJEB60156](https://www.ebi.ac.uk/ena/browser/view/PRJEB60156)): The group at SLU analysed samples from Uppsala, Örebro, Umeå, and Kalmar (2021-2022). + + +## Archived data from SLU + +- [Historic data for Örebro and Umeå; amount of SARS-CoV-2 in Umeå and Örebro wastewater between October 2020 and June 2021](/dashboards/covid_quantification/historic_orebro_umea). +- [Historic SARS-CoV-2 data in wastewater from SEEC-SLU](/dashboards/covid_quantification/historic_covid_SLU) + +## Quantification of SARS-CoV-2 by other groups + +Other groups also quantified SARS-CoV-2 in wastewater in Sweden. The groups used different methods to quantify SARS-CoV-2 and, in some cases, measured different areas of Sweden. All of the data from the groups below is historic: + +- [**Gothenburg university (GU):**](/dashboards/covid_quantification/covid_quant_gu/) Quantification of the level of SARS-CoV-2 in wastewater from Gothenburg by the Norder group at GU. + +- [**SEEC-KTH node:**](/dashboards/covid_quantification/covid_quant_kth/) Quantification of the levels of SARS-CoV-2 in wastewater from Stockholm and Malmö by the SEEC-KTH node (no longer updated after June 2023, historic data is available). + + diff --git a/content/english/dashboards/wastewater/covid_quantification/covid_quant_GU.md b/content/english/dashboards/covid_quantification/covid_quant_GU.md similarity index 85% rename from content/english/dashboards/wastewater/covid_quantification/covid_quant_GU.md rename to content/english/dashboards/covid_quantification/covid_quant_GU.md index bc799fa27..0ed428f60 100644 --- a/content/english/dashboards/wastewater/covid_quantification/covid_quant_GU.md +++ b/content/english/dashboards/covid_quantification/covid_quant_GU.md @@ -3,22 +3,18 @@ title: Amount of SARS-CoV-2 in wastewater (GU) plotly: true aliases: - /dashboards/wastewater/covid_quant_gu/ + - /dashboards/wastewater/covid_quantification/covid_quant_gu/ --- -
- Go back to SARS-CoV-2 quantification within the wastewater epidemiology dashboard -
-
- -
As of April 2024, the SARS-CoV-2 data will no longer be updated by GU. Data from after April 2024 is available from other research groups.
+
As of April 2024, the SARS-CoV-2 data will no longer be updated by GU. Data from after April 2024 is available from other research groups.
## Introduction This project is led by Professor Helene Norder (University of Gothenburg, GU), and supported by co-workers from the University of Gothenburg and Sahlgrenska University Hospital (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström). The wastewater sample collections were performed by Lucica Enache at Ryaverket, Gryaab AB, Gothenburg. -The group began collecting samples on 10th February (week 7) 2020. They updated the methods related to analysing the samples during 2023, and began to use this updated method on 15th May (week 20) 2023. This page concerns only the data collected using their updated method. The associated data and visualisation are **no longer being updated**. Corresponding information about data collected using an earlier method is available in the ['Historic SARS-CoV-2 data from Gothenburg' page](/dashboards/wastewater/covid_quantification/historic_covid_gu/). +The group began collecting samples on 10th February (week 7) 2020. They updated the methods related to analysing the samples during 2023, and began to use this updated method on 15th May (week 20) 2023. This page concerns only the data collected using their updated method. The associated data and visualisation are **no longer being updated**. Corresponding information about data collected using an earlier method is available in the ['Historic SARS-CoV-2 data from Gothenburg' page](/dashboards/covid_quantification/historic_covid_gu/). -The SARS-CoV-2 virus monitoring by the Norder group was done alongside their ongoing monitoring of enteric viruses in wastewater, the data for which are [also shared on this portal](/dashboards/wastewater/enteric_quantification/). +The SARS-CoV-2 virus monitoring by the Norder group was done alongside their ongoing monitoring of enteric viruses in wastewater, the data for which are [also shared on this portal](/dashboards/enteric_quantification/). ## Wastewater collection sites @@ -62,15 +58,10 @@ Wang, H., Churqui, M.P., Tunovic, T., Enache, L., Johansson, A., Karmander, A., Samples of wastewater were collected using a fixed-site sampler that collected 30ml per 10,000m3 of the incoming wastewater. For the purposes of analysis, seven samples (each representing a 24 hour period) were pooled to create a weekly sample. The weekly sample, which consisted of 1.5-15l of wastewater (depending on the flow) was sent to the Clinical Microbiology Laboratory at Sahlgrenska University Hospital for analysis. Analyses were conducted on the Monday after the sample was collected. -At the Clinical Microbiology Laboratory, two methods developed in-house were used to concentrate viruses. The current method uses ultrafiltration as the primary method of concentration. Our previous method instead used an electropositive filter ([Saguti _et al._, 2021](https://pubmed.ncbi.nlm.nih.gov/33212338/)). The two techniques were used in parallel between weeks 20 and 43 in 2023. All information related to the data collected using the previous method can be found on the page related to [historic SARS-CoV-2 data from Gothenburg](/dashboards/wastewater/covid_quantification/historic_covid_gu/). +At the Clinical Microbiology Laboratory, two methods developed in-house were used to concentrate viruses. The current method uses ultrafiltration as the primary method of concentration. Our previous method instead used an electropositive filter ([Saguti _et al._, 2021](https://pubmed.ncbi.nlm.nih.gov/33212338/)). The two techniques were used in parallel between weeks 20 and 43 in 2023. All information related to the data collected using the previous method can be found on the page related to [historic SARS-CoV-2 data from Gothenburg](/dashboards/covid_quantification/historic_covid_gu/). -Nucleic acids were extracted from 1ml of the concentrated sample using the QIAamp Circulating Nucleic Acid Kit (Qiagen, Hilden, Germany). Real-time quantitative PCR (RT-qPCR) was performed to detect the RNA-dependent RNA polymerase (RdRP) region of SARS-CoV-2. In all runs, a 10-fold serial diluted plasmid (Eurofins Genomics, Ebersberg, Germany) that contained the target SARS-CoV-2 region was used as a positive control. Nuclease-free water was used as a negative control. Details about the method of calculation are provided in [Hellmér _et al._ (2014)](https://doi.org/10.1128/AEM.01981-14), [Saguti _et al._ (2021)](https://pubmed.ncbi.nlm.nih.gov/33212338/), [Wang _et al._ (2022)](https://doi.org/10.1016/j.isci.2022.105000), and [Wang _et al._ (2023)](https://doi.org/10.1016/j.scitotenv.2023.165012). For the previous method, which was used until week 43 in 2023, the relative amount of viral genome in the wastewater was calculated by dividing the amount of viral genome in the sample by the amount of SARS-CoV-2 genome in the incoming wastewater during week 11 (mid-March) of 2020. Samples from all subsequent weeks contained detectable SARS-CoV-2 genome (see the [historic SARS-CoV-2 data from Gothenburg page to view this data](/dashboards/wastewater/covid_quantification/historic_covid_gu/)). With the new technique, the data for which is shown above, the amount of virus genomes is given as daily average amounts, as is based on one week of wastewater sampling. +Nucleic acids were extracted from 1ml of the concentrated sample using the QIAamp Circulating Nucleic Acid Kit (Qiagen, Hilden, Germany). Real-time quantitative PCR (RT-qPCR) was performed to detect the RNA-dependent RNA polymerase (RdRP) region of SARS-CoV-2. In all runs, a 10-fold serial diluted plasmid (Eurofins Genomics, Ebersberg, Germany) that contained the target SARS-CoV-2 region was used as a positive control. Nuclease-free water was used as a negative control. Details about the method of calculation are provided in [Hellmér _et al._ (2014)](https://doi.org/10.1128/AEM.01981-14), [Saguti _et al._ (2021)](https://pubmed.ncbi.nlm.nih.gov/33212338/), [Wang _et al._ (2022)](https://doi.org/10.1016/j.isci.2022.105000), and [Wang _et al._ (2023)](https://doi.org/10.1016/j.scitotenv.2023.165012). For the previous method, which was used until week 43 in 2023, the relative amount of viral genome in the wastewater was calculated by dividing the amount of viral genome in the sample by the amount of SARS-CoV-2 genome in the incoming wastewater during week 11 (mid-March) of 2020. Samples from all subsequent weeks contained detectable SARS-CoV-2 genome (see the [historic SARS-CoV-2 data from Gothenburg page to view this data](/dashboards/covid_quantification/historic_covid_gu/)). With the new technique, the data for which is shown above, the amount of virus genomes is given as daily average amounts, as is based on one week of wastewater sampling. ## Archived data -- [Historic SARS-CoV-2 data from Gothenburg collected between week 7 of 2020 and week 43 of 2023](/dashboards/wastewater/covid_quantification/historic_covid_gu/). - -
-
- Go back to SARS-CoV-2 quantification within the wastewater epidemiology dashboard -
+- [Historic SARS-CoV-2 data from Gothenburg collected between week 7 of 2020 and week 43 of 2023](/dashboards/covid_quantification/historic_covid_gu/). diff --git a/content/english/dashboards/wastewater/covid_quantification/covid_quant_KTH.md b/content/english/dashboards/covid_quantification/covid_quant_KTH.md similarity index 94% rename from content/english/dashboards/wastewater/covid_quantification/covid_quant_KTH.md rename to content/english/dashboards/covid_quantification/covid_quant_KTH.md index d65909d50..7ab91e190 100644 --- a/content/english/dashboards/wastewater/covid_quantification/covid_quant_KTH.md +++ b/content/english/dashboards/covid_quantification/covid_quant_KTH.md @@ -3,14 +3,11 @@ title: Amount of SARS-CoV-2 in wastewater (SEEC-KTH) plotly: true aliases: - /dashboards/wastewater/covid_quant_kth/ + - /dashboards/wastewater/covid_quantification/covid_quant_kth/ --- -
- Go back to SARS-CoV-2 quantification within the wastewater epidemiology dashboard -
-
-
As of June 2023, the SARS-CoV-2 data will no longer be updated by SEEC-KTH. Data from after June 2023 is available from other research groups.
+
As of June 2023, the SARS-CoV-2 data will no longer be updated by SEEC-KTH. Data from after June 2023 is available from other research groups.
## Introduction @@ -111,13 +108,10 @@ After concentration, filtering, and preparation, the samples are analysed using ## Archived data -- [Historic data for Stockholm; Gene copy number/week (raw wastewater) with bovine + PMMoV factor between April 2020 and August 2021](/dashboards/wastewater/covid_quantification/historic_stockholm). +- [Historic data for Stockholm; Gene copy number/week (raw wastewater) with bovine + PMMoV factor between April 2020 and August 2021](/dashboards/covid_quantification/historic_stockholm). ## Related data - SARS-CoV-2 variant analysis from wastewater (data available in the European Nucleotide Archive (ENA) under project number [PRJEB60156](https://www.ebi.ac.uk/ena/browser/view/PRJEB60156)): The group at KTH analysed samples from Stockholm and Malmö (2021-2022). -
-
- Go back to SARS-CoV-2 quantification within the wastewater epidemiology dashboard -
+ diff --git a/content/english/dashboards/wastewater/covid_quantification/covid_quant_SLU.md b/content/english/dashboards/covid_quantification/historic_covid_SLU.md similarity index 72% rename from content/english/dashboards/wastewater/covid_quantification/covid_quant_SLU.md rename to content/english/dashboards/covid_quantification/historic_covid_SLU.md index fb84bb35b..6df614d9a 100644 --- a/content/english/dashboards/wastewater/covid_quantification/covid_quant_SLU.md +++ b/content/english/dashboards/covid_quantification/historic_covid_SLU.md @@ -1,36 +1,25 @@ --- -title: Amount of SARS-CoV-2 in wastewater (SEEC-SLU) +title: Historic SARS-CoV-2 data in wastewater from SEEC-SLU plotly: true -aliases: - - /dashboards/wastewater/covid_quant_slu/ --- -
- Go back to SARS-CoV-2 quantification within the wastewater epidemiology dashboard -
-
- ## Introduction -Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) is a positive-sense single-stranded RNA virus that causes COVID-19 (coronavirus disease 2019), the respiratory illness responsible for the COVID-19 pandemic. SARS-CoV-2 was first identified in the city of Wuhan, Hubei, China, and the World Health Organization (WHO) declared a public health emergency of international concern from January 30, 2020, to May 5, 2023. - -Beside respiratory droplets and aerosols, SARS-CoV-2 viral particles, like many other human coronaviruses, are also excreted in the stools of infected individuals. This enables the possibility for SARS-CoV-2 virus to be detected in wastewater and population-level infection trends of COVID-19 to be followed by wastewater-based epidemiology (WBE). +The data presented on this page was generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The project was part of [SciLifeLab's Pandemic Laboratory Preparedness (PLP) Program](/resources/), led by Anna J. Székely (Dep. of Aquatic Sciences and Assessment, SLU). Wastewater analyses were overseen by Anna J. Székely and Maja Malmberg (Virology unit of Department of Biomedical Science and Veterinary Public Health, SLU). This page pertains to the historic quantification of the levels of SARS-CoV-2 virus in multiple cities across Sweden. The project had the broadest geographic coverage across Sweden, generating data for 43% of the Swedish population. -The data presented on this page is generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The project is part of [SciLifeLab's Pandemic Laboratory Preparedness (PLP) Program](/resources/), and is led by Anna J. Székely (Dep. of Aquatic Sciences and Assessment, SLU). Wastewater analyses are overseen by Anna J. Székely and Maja Malmberg (Virology unit of Department of Biomedical Science and Veterinary Public Health, SLU). This page pertains to the quantification of the levels of SARS-CoV-2 virus in multiple cities across Sweden. This project currently has the broadest geographic coverage across Sweden; generating data for 43% of the Swedish population. - -The data and visualisation on this page are usually updated weekly, typically on Fridays. Please note that the scores provided in the dataset and depicted in plot below are preliminary, so corrections and changes may occur. Data and information about the group on this dashboard are updated frequently, so please check back regularly to stay up to date. +Please note that the data and visualizations on this page are no longer updated. The scores in the dataset and depicted in the plots are final, though minor corrections may have been applied retrospectively. This dashboard serves as a record of the project's results during the active monitoring period. ## Wastewater collection sites SLU-SEEC collects and analyses samples for SARS-CoV-2 from multiple areas. The below table shows details about each of these sites. The table lists the towns/cities monitored, wastewater treatment plants (WWTP) that samples were collected from, the number of people in the catchment area (Number of people), and the dates that monitoring by SLU-SEEC started and ended monitoring (Start and End date, respectively). A value of 'null' for the end date indicates that collection is ongoing. An asterisk (\*) next to the number of people indicates that the value is a BOD-7 value (an estimate of the people connected), rather than the number of people physically connected to each WWTP. The information in the below table is [available for download as an excel file](https://blobserver.dc.scilifelab.se/blob/SLU_COVID_collection_sites.xlsx).
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_sluCOVIDsites.json" height="825px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_sluCOVIDsites.json" height="840px" >}}
## Visualisations -
Last updated:
+
Last updated: 2024-09-30
Important note: Historical data for Ekerö, Enköping, Knivsta, Tierp, Vaxholm, Älvkarleby, and Österåker are available in the dataset (linked below). However, they are no longer included in the visualisation. @@ -70,16 +59,14 @@ Please note that although the same methods are used for all cities shown on this
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_combined_slu_regular.json" height="800px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/historic_wastewater_combined_slu_regular.json" height="800px" >}}
-**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_regular.py). +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/archive/historic_combined_slu_regular.py). ## Commentary from the research group -
Date:
Commentary:
- -{{< ww_dynamic_content >}} +
Date: 2024-03-20
Commentary: An error occurred during the processing of the data for week 11-2024, due to a normalization issue. Consequently, the SCV2 data appeared to be 16 times higher and the influenza A data 4 times higher than their actual values. We identified and corrected this error the following day while preparing our official report, and promptly updated the website. We appreciate those who brought this to our attention and apologize to anyone alarmed by the inaccurate results. It's important to note that the data on the website is always preliminary. Please feel free to contact us with any questions or concerns.
## Reports from the research group @@ -89,7 +76,7 @@ The group provide reports to summarise their latest findings. The latest report **Contact:** and -**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file.](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data are available from week 38 of 2020; updated weekly. +**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file.](https://blobserver.dc.scilifelab.se/blob/historic_SLU_wastewater_data.csv). Data are available from week 38 of 2020; updated weekly. **How to cite the dataset:** @@ -109,15 +96,3 @@ Absolute quantification of the copy numbers of the SARS-CoV-2 genome is performe The data in the graph and datafile represent the ratio of the copy numbers measured by the Flu SC2 Multiplex Assay and PMMoV-assays, multiplied by 1000. As the Flu SC2 Multiplex Assay provides a proxy for SARS-CoV-2 virus content in the wastewater and PMMoV is a proxy of the faecal content (which is related to the contributing population), the ratio of the two can be considered to be a proxy for the prevalence of COVID-19 infections in the population of the wastewater catchment area. To align the data generated by the current method with the data generated by methods and quantification assays used earlier, older data has been transformed using conversion factors. The conversion factors are estimated based on common alignment periods when old and new methods are used in parallel. -## Archived data - -- [Historic data for Örebro and Umeå; amount of SARS-CoV-2 in Umeå and Örebro wastewater between October 2020 and June 2021](/dashboards/wastewater/covid_quantification/historic_orebro_umea). - -## Related data - -- SARS-CoV-2 variant analysis from wastewater (data available in the European Nucleotide Archive (ENA) under project number [PRJEB60156](https://www.ebi.ac.uk/ena/browser/view/PRJEB60156)): The group at SLU analysed samples from Uppsala, Örebro, Umeå, and Kalmar (2021-2022). - -
-
- Go back to SARS-CoV-2 quantification within the wastewater epidemiology dashboard -
diff --git a/content/english/dashboards/wastewater/covid_quantification/historic_covid_gu.md b/content/english/dashboards/covid_quantification/historic_covid_gu.md similarity index 98% rename from content/english/dashboards/wastewater/covid_quantification/historic_covid_gu.md rename to content/english/dashboards/covid_quantification/historic_covid_gu.md index bb347d866..013a7ed5b 100644 --- a/content/english/dashboards/wastewater/covid_quantification/historic_covid_gu.md +++ b/content/english/dashboards/covid_quantification/historic_covid_gu.md @@ -3,13 +3,14 @@ title: Historic SARS-CoV-2 data from Gothenburg plotly: true aliases: - /dashboards/wastewater/historic_covid_gu/ + - /dashboards/wastewater/covid_quantification/historic_covid_gu/ ---
The data presented here is no longer updated but is kept for historical reference.
-This page shows historic wastewater epidemiology data related to SARS-CoV-2 that was collected in Gothenburg, Sweden. The data was collected by the group led by Professor Helene Norder (University of Gothenburg, GU), supported by co-workers from the University of Gothenburg and Sahlgrenska University Hospital (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström). The data shown on this page was collected between week 7 of 2020, and week 43 of 2023 (i.e. between 10th February 2020 and 23rd October 2023). The group started to use a new method from week 20 of 2023. Data produced using this new method continues to be updated approximately weekly, and is available on the ['Amount of SARS-CoV-2 in wastewater (GU)' page](/dashboards/wastewater/covid_quantification/covid_quant_gu/). +This page shows historic wastewater epidemiology data related to SARS-CoV-2 that was collected in Gothenburg, Sweden. The data was collected by the group led by Professor Helene Norder (University of Gothenburg, GU), supported by co-workers from the University of Gothenburg and Sahlgrenska University Hospital (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström). The data shown on this page was collected between week 7 of 2020, and week 43 of 2023 (i.e. between 10th February 2020 and 23rd October 2023). The group started to use a new method from week 20 of 2023. Data produced using this new method continues to be updated approximately weekly, and is available on the ['Amount of SARS-CoV-2 in wastewater (GU)' page](/dashboards/covid_quantification/covid_quant_gu/). ## Wastewater collection sites diff --git a/content/english/dashboards/wastewater/covid_quantification/historic_orebro_umea.md b/content/english/dashboards/covid_quantification/historic_orebro_umea.md similarity index 97% rename from content/english/dashboards/wastewater/covid_quantification/historic_orebro_umea.md rename to content/english/dashboards/covid_quantification/historic_orebro_umea.md index aa22e8bd7..be7bfa2c8 100644 --- a/content/english/dashboards/wastewater/covid_quantification/historic_orebro_umea.md +++ b/content/english/dashboards/covid_quantification/historic_orebro_umea.md @@ -4,9 +4,10 @@ plotly: true aliases: - /data_types/environment/wastewater/historic_orebro_umea/ - /dashboards/wastewater/historic_orebro_umea/ + - /dashboards/wastewater/covid_quantification/historic_orebro_umea/ --- -This page displays data on the amount of SARS-CoV-2 in Umeå and Örebro wastewater between October 2020 and June 2021. A new method was used after June 2021, and [the most recent data can be found here](/dashboards/wastewater/covid_quantification/covid_quant_slu/). +This page displays data on the amount of SARS-CoV-2 in Umeå and Örebro wastewater between October 2020 and June 2021. A new method was used after June 2021, and [the most recent data can be found here](/dashboards/covid_quantification/). The data displayed here were collected as part of a research project led by associate professor Maja Malmberg (SLU, Swedish University of Agricultural Sciences: ), in collaboration with the [SciLifeLab COVID-19 National Research Program](https://www.scilifelab.se/covid-19), and associate professor Mette Myrmel at the Norwegian University of Life Sciences. diff --git a/content/english/dashboards/wastewater/covid_quantification/historic_stockholm.md b/content/english/dashboards/covid_quantification/historic_stockholm.md similarity index 96% rename from content/english/dashboards/wastewater/covid_quantification/historic_stockholm.md rename to content/english/dashboards/covid_quantification/historic_stockholm.md index cb774cb59..920b59eb6 100644 --- a/content/english/dashboards/wastewater/covid_quantification/historic_stockholm.md +++ b/content/english/dashboards/covid_quantification/historic_stockholm.md @@ -4,9 +4,10 @@ plotly: true aliases: - /data_types/environment/wastewater/historic_stockholm/ - /dashboards/wastewater/historic_stockholm/ + - /dashboards/wastewater/covid_quantification/historic_stockholm/ --- -This page displays data on the amount of SARS-CoV-2 in the wastewater in Stockholm between April 2020 and August 2021. The amount of SARS-CoV-2 in wastewater was calculated as the number of gene copies per week (raw wastewater) with bovine + PMMoV factor. From September 2021 onwards, the method was changed. Please [see this page for the most recent data](/dashboards/wastewater/covid_quantification/covid_quant_kth/). +This page displays data on the amount of SARS-CoV-2 in the wastewater in Stockholm between April 2020 and August 2021. The amount of SARS-CoV-2 in wastewater was calculated as the number of gene copies per week (raw wastewater) with bovine + PMMoV factor. From September 2021 onwards, the method was changed. Please [see this page for the most recent data](/dashboards/covid_quantification/covid_quant_kth/). This project was led by associate professor Zeynep Cetecioglu Gurol and colleagues (KTH Royal Institute of Technology: ). The project was a collaboration between the [SciLifeLab COVID-19 National Research Program](https://www.scilifelab.se/covid-19), the [Sustainable Development, Environmental Science and Engineering (SEED)](https://www.kth.se/en/seed) and [Chemical Engineering](https://www.kth.se/ket/chemical-engineering-1.784196) departments at the KTH Royal Institute of Technology (KTH), as well as Stockholm Vatten och Avfall and the Käppala Association. The sampling of wastewater began in mid-April 2020, from the Bromma, Henriksdal, and Käppala wastewater treatment plants (WWTP). These treatment plants receive wastewater from a population of approximately 360,000, 860,000, and 500,000 people, respectively. Please see the catchment maps for [Käppala](/wastewater/map_Kappala.pdf) and [Bromma and Henriksdal](/wastewater/map_Bromma_Henriksdal.pdf) to understand where the wastewater originated from in each case. diff --git a/content/english/dashboards/wastewater/enteric_quantification/_index.md b/content/english/dashboards/enteric_quantification/_index.md similarity index 94% rename from content/english/dashboards/wastewater/enteric_quantification/_index.md rename to content/english/dashboards/enteric_quantification/_index.md index 4ef556721..349ecd38c 100644 --- a/content/english/dashboards/wastewater/enteric_quantification/_index.md +++ b/content/english/dashboards/enteric_quantification/_index.md @@ -1,13 +1,16 @@ --- title: Amount of enteric virus in wastewater (GU) plotly: true -type: wastewater +banner: /dashboard_thumbs/wastewater_enteric_virus.png +description: Enteric virus levels in Gothenburg’s wastewater, including norovirus and adenovirus. Data from the Norder group’s weekly analysis at Ryaverket WWTP helps predict outbreaks and includes samples from surrounding municipalities. menu: - wastewater: - name: Enteric virus quantification (GU) - weight: 30 + dashboard_menu: + identifier: wastewater_enteric_quantification + name: "Wastewater: Enteric Virus Quantification (GU)" +dashboards_topics: [Wastewater Surveillance, Enteric viruses, Epidemiology] aliases: - - /dashboards/wastewater/enteric_quant_gu/ + - /dashboards/wastewater/enteric_quantification/ +data_status: "historic" ---
@@ -24,7 +27,7 @@ In 2017, and since 2020, the Norder group at the University of Gothenburg (GU) c This page details the [latest method used in monitoring](#methods), as well as [a brief summary information about the viruses](#basic-virus-information), and [information about the data collected](#dataset). -The enteric virus monitoring by the Norder group was done alongside their ongoing monitoring of SARS-CoV-2 in wastewater, the data for which are [also shared on this portal](/dashboards/wastewater/covid_quantification/covid_quant_gu/). +The enteric virus monitoring by the Norder group was done alongside their ongoing monitoring of SARS-CoV-2 in wastewater, the data for which are [also shared on this portal](/dashboards/covid_quantification/covid_quant_gu/). The data and visualisations on this page is **no longer being updated**. @@ -85,7 +88,7 @@ Nucleic acids are extracted from 1ml of the concentrated sample using the QIAamp ## Archived data -[Historic enteric virus data from Gothenburg collected between week 2 and week 43 of 2023](/dashboards/wastewater/enteric_quantification/historic_enteric_gu/). +[Historic enteric virus data from Gothenburg collected between week 2 and week 43 of 2023](/dashboards/enteric_quantification/historic_enteric_gu/). ### Basic virus information diff --git a/content/english/dashboards/wastewater/enteric_quantification/historic_enteric_gu.md b/content/english/dashboards/enteric_quantification/historic_enteric_gu.md similarity index 97% rename from content/english/dashboards/wastewater/enteric_quantification/historic_enteric_gu.md rename to content/english/dashboards/enteric_quantification/historic_enteric_gu.md index ee2dadde2..b7a1c1356 100644 --- a/content/english/dashboards/wastewater/enteric_quantification/historic_enteric_gu.md +++ b/content/english/dashboards/enteric_quantification/historic_enteric_gu.md @@ -3,13 +3,14 @@ title: Historic enteric virus data from Gothenburg plotly: true aliases: - /dashboards/wastewater/historic_enteric_GU/ + - /dashboards/wastewater/enteric_quantification/historic_enteric_gu/ ---
The data presented here is no longer updated but is kept for historical reference.
-This page shows historic wastewater epidemiology data for enteric viruses. The data was collected in Gothenburg, Sweden by the group led by Professor Helene Norder (University of Gothenburg, GU). The work was supported by co-workers from the University of Gothenburg and Sahlgrenska University Hospital (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström), and Lucica Enache at Ryaverket, Gryaab AB, Gothenburg. The data shown on this page was collected between week 2 and week 43 of 2023 (i.e. between 9th January and 23rd October 2023). The group started to use a new method from week 20 of 2023 (15th May). Data produced using this new method continues to be updated approximately weekly, and is available on the ['Amount of enteric virus in wastewater (GU)' page](../). +This page shows historic wastewater epidemiology data for enteric viruses. The data was collected in Gothenburg, Sweden by the group led by Professor Helene Norder (University of Gothenburg, GU). The work was supported by co-workers from the University of Gothenburg and Sahlgrenska University Hospital (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström), and Lucica Enache at Ryaverket, Gryaab AB, Gothenburg. The data shown on this page was collected between week 2 and week 43 of 2023 (i.e. between 9th January and 23rd October 2023). The group started to use a new method from week 20 of 2023 (15th May). Data produced using this new method continues to be updated approximately weekly, and is available on the ['Amount of enteric virus in wastewater (GU)' page](/dashboards/enteric_quantification/). ## Introduction @@ -17,9 +18,9 @@ Enteric viruses are a large group of viruses including, for example, calicivirus Wastewater contains many different types of viruses that infect humans because viruses are shed in the faeces and urine of infected individuals. The Norder group at the University of Gothenburg showed that the relative levels of some enteric viruses in wastewater could be used to predict upcoming outbreaks ([Hellmér _et al._, 2014](https://pubmed.ncbi.nlm.nih.gov/25172863/)). Indeed, previous studies by the Norder group have shown that the levels of noroviruses in wastewater increase 1-2 weeks before larger outbreaks in nursing homes and hospital wards. -In 2017, and since 2020, the Norder group at the University of Gothenburg (GU) conducted weekly monitoring of the levels of some enteric viruses in wastewater. They quantify the levels of enteroviruses (including poliovirus), adenoviruses, GG2 (a norovirus causing winter vomiting disease), astroviruses, sapoviruses and also pepper molt mild virus (PMMoV). This page details the [historic methods used in monitoring](#methods), as well as [a brief summary information about the viruses](#basic-virus-information), and [information about citing the historic data](#dataset). Data collected using the updated method is available on the page ['Amount of enteric virus in wastewater (GU)'](../). +In 2017, and since 2020, the Norder group at the University of Gothenburg (GU) conducted weekly monitoring of the levels of some enteric viruses in wastewater. They quantify the levels of enteroviruses (including poliovirus), adenoviruses, GG2 (a norovirus causing winter vomiting disease), astroviruses, sapoviruses and also pepper molt mild virus (PMMoV). This page details the [historic methods used in monitoring](#methods), as well as [a brief summary information about the viruses](#basic-virus-information), and [information about citing the historic data](#dataset). Data collected using the updated method is available on the page ['Amount of enteric virus in wastewater (GU)'](/dashboards/enteric_quantification/). -The enteric virus monitoring by the Norder group was done alongside their ongoing monitoring of SARS-CoV-2 in wastewater, the data for which is [also shared on this portal](/dashboards/wastewater/covid_quantification/covid_quant_gu/). +The enteric virus monitoring by the Norder group was done alongside their ongoing monitoring of SARS-CoV-2 in wastewater, the data for which is [also shared on this portal](/dashboards/covid_quantification/covid_quant_gu/). ## Wastewater collection sites diff --git a/content/english/dashboards/influenza_quantification/_index.md b/content/english/dashboards/influenza_quantification/_index.md new file mode 100644 index 000000000..f5e44902f --- /dev/null +++ b/content/english/dashboards/influenza_quantification/_index.md @@ -0,0 +1,94 @@ +--- +title: Amount of influenza virus in wastewater (SLU) +plotly: true +banner: /dashboard_thumbs/wastewater_influenza.png +description: Explore Influenza A and B virus levels in wastewater across Sweden. Weekly data from SLU-SEEC tracks Influenza trends, covering 43% of the Swedish population, and aids in predicting potential outbreaks. +menu: + dashboard_menu: + identifier: wastewater_influenza_quantification + name: "Wastewater: Influenza Quantification (SLU)" +aliases: + - /dashboards/wastewater/influenza_quantification/ +dashboards_topics: [Wastewater Surveillance, Influenza, Epidemiology] +data_status: "updating" +--- + +## Introduction + +Influenza viruses are negative-sense, single-stranded, segmented RNA viruses within the family Orthomyxoviridae. Influenza A and influenza B viruses cause seasonal epidemics of influenza, commonly known as “the flu”, a highly contagious respiratory disease characterized by symptoms such as fever, cough, sore throat, body aches, and fatigue but diarrhea and vomiting can also occur. Influenza A virus is widespread in water birds but also infects other birds and various mammals, including humans and pigs, while influenza B virus primarily infects humans. Influenza viruses mutate rapidly, leading to different strains and seasonal outbreaks. Both influenza A and influenza B viruses can cause seasonal outbreaks, but only influenza A is known to cause pandemics due to its broad host range and resulting potential for interspecies genetic reassortment. For more information about symptoms, risks and vaccination against influenza viruses, visit the corresponding site of the [Swedish Public Health Agency](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/influensa-/). + +The data presented on this page is generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The data and visualisation on this page are usually updated weekly, typically on Mondays. Please refer to the [Methods](#methods) for details on measurements and calculations. All related dashboards can be found on the [Wastewater Surveillance](/dashboards/topics/wastewater-surveillance/) page, and sampling sites and project details are available in the [Wastewater Monitoring Background](/dashboards/wastewater_background/). + +
+Important Note:
+The scores provided in the dataset and depicted in the plot below are preliminary, so corrections and changes may occur. Data and information about the group on this dashboard are updated frequently, so please check back regularly to stay up to date.
Please note that although the same methods are used for all cities shown on this tab, differences in the wastewater collection systems and populations of different cities might bias direct comparisons between cities. +
+ +## Visualisations + +
Last updated:
+ +### Influenza A + +
+ Rotating your phone may improve graph layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infA.json" height="800px" >}}
+
+ +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_a.py). + +### Influenza B + +
+ Rotating your phone may improve graph layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infB.json" height="800px" >}}
+
+ +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_b.py). + +## Commentary from the research group + +
Date:
Commentary:
+ +{{< ww_dynamic_content >}} + +## Reports from the research group + +The group provide reports to summarise their latest findings. The latest report is available [here](https://blobserver.dc.scilifelab.se/blob/Latest_weekly_report_SEEC-SLU.pdf) (only available in Swedish). + +## Dataset + +**Contact:** and + +**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data are available for Influenza A from week 42 of 2022 and for Influenza B from week 12 of 2023; updated weekly. + +**How to cite the dataset:** + +Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. . + +## Methods + +Wastewater is collected from several different treatment plants around the country. For more information about the treatment plants, visit the page about [the background of wastewater surveillance](/dashboards/wastewater_background/). For most cities represented on this page, raw, untreated wastewater samples that are representative of a single day are collected by flow compensated samplers at the wastewater treatment plants (WWTP). Uppsala is the exception, where samples are collected daily, and then combined flow-proportionally into one composite weekly sample for the purpose of analyses. + +The viral genomic material from the freshly collected samples is extracted by the direct capture method, using the Maxwell RSC Enviro TNA kit (Promega). + +Absolute quantification of the copy numbers of the genome of influenza A and B viruses is performed by One-Step RT-qPCR using the Flu SC2 Multiplex Assay from the Centers for Disease Control and Prevention (CDC). To correct for variations in population size and wastewater flow, pepper mild mottle virus (PMMoV) is quantified using a modified version of the assay of [Zhang et al. (2006)](https://doi.org/10.1371/journal.pbio.0040003). PMMoV is an abundant RNA virus in human faeces and serves as an estimator of human faecal content ([Symonds et al., 2019](https://doi.org/10.1371/journal.ppat.1007639)). + +The data in the graphs and datafile is presented in three different formats: +- **PMMoV normalised Influenza content** represents the ratio of the copy numbers of influenza and PMMoV measured by the influenza assay and PMMoV-assays, respectively, multiplied by 1000. As the influenza assay provides proxies for influenza virus content in the wastewater and PMMoV is a proxy of the faecal content (which is related to the contributing population), the ratio of the two can be considered to be a proxy for the prevalence of influenza infections in the population of the wastewater catchment area. +- **Influenza genome copies concentration** presents the influenza copy number concentration measured in the wastewater. These data is influenced by the setup of the different wastewater collection nsystems and is therefore not suitable for comparison betwwen sites. The virus concentrations in the wastewater are also influenced by the weather events that impact wastewater flow (e.g., heavy rain or snow melt). +- **Influenza genome copies/day/inhabitant** represents the daily virus amount estimated in the wastewater normalized for the number of inhabitants connected to the system. These data allows for comparison of different sites but some delays in the presentation of these data may occur compared to the other. + +**How to cite the method:** + +Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. _Environments_, _9_, 39. . + +## Archived data from SLU + +- [Historic Influenza data in wastewater from SEEC-SLU](/dashboards/influenza_quantification/historic_influenza_SLU) \ No newline at end of file diff --git a/content/english/dashboards/wastewater/influenza_quantification/_index.md b/content/english/dashboards/influenza_quantification/historic_influenza_SLU.md similarity index 62% rename from content/english/dashboards/wastewater/influenza_quantification/_index.md rename to content/english/dashboards/influenza_quantification/historic_influenza_SLU.md index 9dfbf4054..d7619cb0f 100644 --- a/content/english/dashboards/wastewater/influenza_quantification/_index.md +++ b/content/english/dashboards/influenza_quantification/historic_influenza_SLU.md @@ -1,20 +1,13 @@ --- -title: Amount of influenza virus in wastewater (SLU) +title: Historic data of influenza virus in wastewater (SLU) plotly: true -type: wastewater -menu: - wastewater: - name: Influenza quantification (SLU) - weight: 40 --- ## Introduction -Influenza viruses are negative-sense, single-stranded, segmented RNA viruses within the family Orthomyxoviridae. Influenza A and influenza B viruses cause seasonal epidemics of influenza, commonly known as "the flu", a highly contagious respiratory disease characterized by symptoms such as fever, cough, sore throat, body aches, and fatigue but diarrhea and vomiting can also occur. Influenza A virus is widespread in water birds but also infects other birds and various mammals, including humans and pigs, while influenza B virus primarily infects humans. Influenza viruses mutate rapidly, leading to different strains and seasonal outbreaks. Both influenza A and influenza B viruses can cause seasonal outbreaks, but only influenza A is known to cause pandemics due to its broad host range and resulting potential for interspecies genetic reassortment. Globally the "seasonal flu” is estimated to be responsible for 290,000–645,000 deaths/year. +The data presented on this page was generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The project was part of SciLifeLab’s Pandemic Laboratory Preparedness (PLP) Program, led by Anna J. Székely (Dep. of Aquatic Sciences and Assessment, SLU). Wastewater analyses were overseen by Anna J. Székely, Javier Vargas, and Maja Malmberg (Virology unit of Department of Biomedical Science and Veterinary Public Health, SLU). This page pertains to the historic quantification of the levels of influenza A and B viruses in multiple cities across Sweden. The project had the broadest geographic coverage across Sweden, generating data for 43% of the Swedish population. -The data presented on this page is generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The project is part of SciLifeLab’s Pandemic Laboratory Preparedness (PLP) Program, and is led by Anna J. Székely (Dep. of Aquatic Sciences and Assessment, SLU). Wastewater analyses are overseen by Anna J. Székely, Javier Vargas and Maja Malmberg (Virology unit of Department of Biomedical Science and Veterinary Public Health, SLU). This page pertains to the quantification of the levels of influenza A and B viruses in multiple cities across Sweden. This project currently has the broadest geographic coverage across Sweden; generating data for 43% of the Swedish population. - -The data and visualisation on this page are usually updated weekly, typically on Fridays. Please note that the scores provided in the dataset and depicted in plot below are preliminary, so corrections and changes may occur. Data and information about the group on this dashboard are updated frequently, so please check back regularly to stay up to date. +Please note that the data and visualizations on this page are no longer updated. The scores in the dataset and depicted in the plots are final, though minor corrections may have been applied retrospectively. This dashboard serves as a record of the project's results during the active monitoring period. ## Wastewater collection sites @@ -26,7 +19,8 @@ SLU-SEEC collects and analyses samples for influenza A and B viruses from multip ## Visualisations -
Last updated:
+
Last updated: 2024-09-30
+ Important note: Please note that although the same methods are used for all cities shown on this tab, differences in the wastewater collection systems and populations of different cities might bias direct comparisons between cities. @@ -37,10 +31,10 @@ SLU-SEEC collects and analyses samples for influenza A and B viruses from multip
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infA.json" height="600px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/historic_wastewater_slu_infA.json" height="600px" >}}
-**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_a.py). +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/archive/historic_combined_slu_influenza_a.py). ### Influenza B @@ -49,16 +43,14 @@ SLU-SEEC collects and analyses samples for influenza A and B viruses from multip
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infB.json" height="600px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/historic_wastewater_slu_infB.json" height="600px" >}}
-**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_b.py). +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/archive/historic_combined_slu_influenza_b.py). ## Commentary from the research group -
Date:
Commentary:
- -{{< ww_dynamic_content >}} +
Date: 2023-08-30
Commentary: The data presented for influenza A and B is preliminary. Minor changes to the data are expected in the near future due to ongoing adjustments to the data analyses methods.
## Reports from the research group @@ -68,7 +60,7 @@ The group provide reports to summarise their latest findings. The latest report **Contact:** and -**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data are available for Influenza A from week 42 of 2022 and for Influenza B from week 12 of 2023; updated weekly. +**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file](https://blobserver.dc.scilifelab.se/blob/historic_SLU_wastewater_data.csv). Data are available for Influenza A from week 42 of 2022 and for Influenza B from week 12 of 2023; updated weekly. **How to cite the dataset:** diff --git a/content/english/dashboards/rsv_quantification.md b/content/english/dashboards/rsv_quantification.md new file mode 100644 index 000000000..1e108a8a2 --- /dev/null +++ b/content/english/dashboards/rsv_quantification.md @@ -0,0 +1,76 @@ +--- +title: "Amount of Respiratory Syncytial Virus (RSV) in wastewater (SEEC-SLU)" +description: "Explore Respiratory Syncytial Virus (RSV) levels in wastewater across Sweden. Weekly data from SLU-SEEC tracks RSV trends, covering a significant portion of the population, and assists in predicting potential outbreaks." +plotly: true +banner: /dashboard_thumbs/wastewater_rsv.png +menu: + dashboard_menu: + identifier: rsv_quant + name: "Wastewater: RSV Quantification (SLU)" +dashboards_topics: [Wastewater Surveillance, RSV, Epidemiology] +data_status: "updating" +--- + +## Introduction + +Respiratory Syncytial Virus (RSV) is a negative-sense, single-stranded RNA virus that causes infections of the lungs and respiratory tract. Most people only have mild, cold-like symptoms and recover quickly, but infants and older adults can develop severe RSV and need hospitalization. RSV is one of the major reasons of hospitalization for respiratory illnesses in infants < 1 year old. For more information about symptoms, risks and vaccination against RSV, visit the corresponding site of the [Swedish Public Health Agency](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/rs-virusinfektion/). + +The data presented on this page is generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The data and visualisation on this page are usually updated weekly, typically on Mondays. Please refer to the [Methods](#methods) for details on measurements and calculations. All related dashboards can be found on the [Wastewater Surveillance](/dashboards/topics/wastewater-surveillance/) page, and sampling sites and project details are available in the [Wastewater Monitoring Background](/dashboards/wastewater_background/). + +
+Important Note:
+The scores provided in the dataset and depicted in the plot below are preliminary, so corrections and changes may occur. Data and information about the group on this dashboard are updated frequently, so please check back regularly to stay up to date.
Please note that although the same methods are used for all cities shown on this tab, differences in the wastewater collection systems and populations of different cities might bias direct comparisons between cities. +
+ +## Visualisations + +
Last updated:
+ +
+ Rotating your phone may improve graph layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_rsv.json" height="800px" >}}
+
+ +**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_rsv.py). + +## Commentary from the research group + +
Date:
Commentary:
+ +{{< ww_dynamic_content >}} + +## Reports from the research group + +The group provide reports to summarise their latest findings. The latest report is available here (only available in Swedish). + +## Dataset + +**Contact:** and + +**Download the data:** [Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data are available for RSV from week 32 of 2023; updated weekly. + +**How to cite the dataset:** + +Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. . + +## Methods + +Wastewater is collected from several different treatment plants around the country. For more information about the treatment plants, visit the page about [the background of wastewater surveillance](/dashboards/wastewater_background/). For most cities represented on this page, raw, untreated wastewater samples that are representative of a single day are collected by flow compensated samplers at the wastewater treatment plants (WWTP). Uppsala is the exception, where samples are collected daily, and then combined flow-proportionally into one composite weekly sample for the purpose of analyses. + +The viral genomic material from the freshly collected samples is extracted by the direct capture method, using the Maxwell RSC Enviro TNA kit (Promega). + +Absolute quantification of the copy numbers of the genome of RSV virus is performed by One-Step RT-qPCR using the assay of Hughes et al. (2022). To correct for variations in population size and wastewater flow, pepper mild mottle virus (PMMoV) is quantified using a modified version of the assay of Zhang et al. (2006). PMMoV is an abundant RNA virus in human faeces and serves as an estimator of human faecal content (Symonds et al., 2019). + +The data in the graphs and datafile is presented in three different formats: + +- **PMMoV normalised RSV content** represents the ratio of the copy numbers of RSV and PMMoV measured by the RSV assay and PMMoV-assays, respectively, multiplied by 1000. As the RSV assay provides proxies for RSV virus content in the wastewater and PMMoV is a proxy of the faecal content (which is related to the contributing population), the ratio of the two can be considered to be a proxy for the prevalence of RSV infections in the population of the wastewater catchment area. +- **RSV genome copies concentration** presents the RSV copy number concentration measured in the wastewater. These data is influenced by the setup of the different wastewater collection nsystems and is therefore not suitable for comparison betwwen sites. The virus concentrations in the wastewater are also influenced by the weather events that impact wastewater flow (e.g., heavy rain or snow melt). +- **RSV genome copies/day/inhabitant** represents the daily virus amount estimated in the wastewater normalized for the number of inhabitants connected to the system. These data allows for comparison of different sites but some delays in the presentation of these data may occur compared to the other. + +**How to cite the method:** + +Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. _Environments_, _9_, 39. . + diff --git a/content/english/dashboards/wastewater/_index.md b/content/english/dashboards/wastewater/_index.md deleted file mode 100644 index bcc6fa67c..000000000 --- a/content/english/dashboards/wastewater/_index.md +++ /dev/null @@ -1,73 +0,0 @@ ---- -title: Wastewater-based epidemiology in Sweden -description: Surveillance of wastewater for pathogens can be an effective means of predicting upcoming outbreaks. This dashboard contains data originating from the multiple research groups across Sweden. -banner: /dashboard_thumbs/wastewater.jpg -inline_toc: true -type: wastewater -menu: - dashboard_menu: - identifier: wastewater - name: Wastewater-based epidemiology - other_data: - name: Environment - identifier: environment - weight: 50 - wastewater: - name: Introduction - weight: 10 -plotly: true -aliases: - - /data_types/environment/wastewater/ - - /data_types/environment/ - - /dashboards/wastewater/introduction/ -dashboards_topics: [COVID-19, Infectious diseases, Enteric viruses, Influenza] -data_status: "updating" # or "historic" ---- - -## Introduction - -Wastewater surveillance can be used to effectively monitor the levels of pathogens, including SARS-CoV-2, in the population. It can even help to predict upcoming outbreaks, thus acting as an 'early-warning system'. See below for [a general introduction to wastewater epidemiology](#background-wastewater-based-epidemiology). - -This dashboard presents wastewater epidemiology data from various Swedish cities. Combined, the cities included here have a total population of over 3.5 million people (or 34% of the Swedish population). The data presented in this dashboard originates from analyses conducted by three laboratories. Two of the laboratories are part of [SEEC (The Swedish Environmental Epidemiology Center)](https://www.scilifelab.se/pandemic-response/pandemic-laboratory-preparedness/swedish-environmental-epidemiology-center-seec/), which was established by researchers at four Swedish universities (Swedish University of Agricultural Sciences, KTH Royal Institute of Technology, Karolinka Institute, and Uppsala University) as a pandemic laboratory preparedness resource project within [SciLifeLab’s Pandemic Preparedness Program](https://www.scilifelab.se/pandemic-response). The two nodes of SEEC involved in wastewater analysis are **SEEC-KTH** (based at KTH Royal Institute of Technology (KTH), led by associate professor Zeynep Cetecioglu Gurol) and **SEEC-SLU** (based at the Department of Aquatic Sciences and Assessment at SLU (Swedish University of Agricultural Sciences), led by associate professor Anna J. Székely and associate professor Maja Malmberg). The third laboratory presenting their work on this dashboard is based at the **University of Gothenburg (GU)** and led by professor Heléne Norder. Please see the ['navigating the dashboard' section](#navigating-the-dashboard) below to understand where to locate work provided from the three laboratories within this dashboard. - -Please note that each laboratory processes and analyses their wastewater samples in slightly different ways. Therefore, the absolute values measured by different laboratories are not comparable with each other, and minor differences in trends may occur. This means that you should be cautious when making comparisons. Please consult the 'methods' sections of individual tabs to understand the methodologies used in each case. - -## Navigating the dashboard - -The work on this dashboard is divided according to different topics explored. See the list below to determine which resources are available: - -- [**SARS-CoV-2 quantification**](/dashboards/wastewater/covid_quantification/): Data, visualisations, and information related to the quantification of SARS-CoV-2 in wastewater in different areas of Sweden. All three groups share data on this topic, and cover different areas of Sweden. It is possible to navigate directly to the group(s) providing data on the area(s) of interest to you. - -- [**Enteric virus quantification**](/dashboards/wastewater/enteric_quantification/): Data, visualisations, and information related to the quantification of enteric viruses in wastewater Gothenburg. This data is collected, analysed, and shared by the Norder group at Gothenburg university (GU). - -- [**Influenza quantification**](/dashboards/wastewater/influenza_quantification/): Data, visualisations, and information related to the quantification of Influenza viruses in wastewater in different areas of Sweden. These data are collected, analysed, and shared by the SEEC node at Swedish University of Agricultural Sciences (SLU). - -## Availability of code - -All code used to produce the visualisations on the tabs on this dashboard is available on [GitHub](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/tree/main/wastewater). The particular scripts used in each case are linked below the individual visualisations. - -## Sample collection sites - -Below is a map showing the wastewater treatment plants (WWTPs) from which wastewater samples are being collected and analysed by groups sharing data on this dashboard. - -
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_map_test.json" height="600px" >}}
-
- -**Code used to produce map:** [Script to produce map](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/interactive_wastewater_map.py). - -The table below lists; the towns/cities monitored by groups sharing data on this dashboard, wastewater treatment plants (WWTP) that samples were collected from, the number of people in the catchment area (Number of people), whether monitoring is actively ongoing (Active?), the viruses monitored at the site (Viruses monitored), and the group(s) that have monitored/are monitored the site. An asterisk (\*) next to the number of people indicates that the value is a BOD-7 value (an estimate of the people connected), rather than the number of people physically connected to each WWTP. The information in the below table is [available for download as an excel file](https://blobserver.dc.scilifelab.se/blob/overall_ww_collection_sites.xlsx). - -
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_overallsites.json" height="875px" >}}
-
- -## Background: Wastewater-based epidemiology - -The genomes of many pathogens, including SARS-CoV-2, can be detected in faecal samples collected from infected individuals (e.g. COVID-19 patients) using polymerase chain reaction (PCR) tests (see, for example, [Wu _et al_. (2020)]()). Monitoring the levels of pathogens (e.g. SARS-CoV-2) in wastewater from communities can therefore provide an indication of the prevalence of that pathogen at a population-wide level, referred to as wastewater-based epidemiology ([Corpuz _et al._, 2020](https://doi.org/10.1016/j.scitotenv.2020.140910)). - -Wastewater, also referred to as “sewage” includes water from multiple sources in each household, including kitchen sinks, toilets, and showers. However, it could also include water from multiple other sources (for example, rainwater and water from industrial use). Samples used for wastewater epidemiology studies are collected periodically at wastewater treatment facilities; enabling assessments of viral load over time. Wastewater monitoring has been shown to be an effective early-warning system for outbreaks. For example, [Peccia _et al._ (2020)](https://doi.org/10.1038/s41587-020-0684-z) showed early on in the COVID-19 pandemic that SARS CoV-2 virus content in wastewater predicted increases in infection in the population and followed the epidemic trend, as measured by the number of COVID-19 cases and hospitalisation rates. [Wang _et al._ (2022)](https://pubmed.ncbi.nlm.nih.gov/36035197/) even showed that the level of SARS-CoV-2 viral genomes in wastewater increased 1-2 weeks before there was an increase in the number of hospitalised COVID-19 patients. Since the COVID-19 pandemic, surveillance of viral RNA levels in wastewater is used to monitor and predict the spread of the disease. - -Wastewater monitoring should primarily be seen as a surveillance system. Taken together with data from other sources such as patient testing, intensive care admissions etc., it may help in understanding the regional dynamics of disease outbreaks. - -{{< ww_dynamic_content >}} diff --git a/content/english/dashboards/wastewater/covid_quantification/_index.md b/content/english/dashboards/wastewater/covid_quantification/_index.md deleted file mode 100644 index 7f27221e3..000000000 --- a/content/english/dashboards/wastewater/covid_quantification/_index.md +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: SARS-CoV-2 quantification -type: wastewater -menu: - wastewater: - name: SARS-CoV-2 quantification - weight: 20 -plotly: true ---- - -## Quantification of SARS-CoV-2 across Sweden - -
- -All three groups involved in this dashboard quantify the levels of SARS-CoV-2 in wastewater. **The groups each measure different regions of Sweden, and some regions are covered by multiple groups**. Below are lists of the areas covered by each group. Click on the name of the group to go to their SARS-CoV-2 quantification data. - -- [**Gothenburg university (GU):**](/dashboards/wastewater/covid_quantification/covid_quant_gu/) Quantification of the level of SARS-CoV-2 in wastewater from Gothenburg by the Norder group at GU. - -- [**SEEC-KTH node:**](/dashboards/wastewater/covid_quantification/covid_quant_kth/) Quantification of the levels of SARS-CoV-2 in wastewater from Stockholm and Malmö by the SEEC-KTH node (no longer updated after June 2023, historic data is available). - -- [**SEEC-SLU node:**](/dashboards/wastewater/covid_quantification/covid_quant_slu/) Quantification of the levels of SARS-CoV-2 in wastewater from multiple sites, including Stockholm, Malmö, Gothenburg, Uppsala, Västerås, Örebro, Umeå, and many others, by the SEEC-SLU node. diff --git a/content/english/dashboards/wastewater_background.md b/content/english/dashboards/wastewater_background.md new file mode 100644 index 000000000..8ed611164 --- /dev/null +++ b/content/english/dashboards/wastewater_background.md @@ -0,0 +1,52 @@ +--- +title: Wastewater-based epidemiology in Sweden +plotly: true +--- + +## Introduction + +Wastewater surveillance can be used to effectively monitor the levels of pathogens, including SARS-CoV-2, in the population. It can even help to predict upcoming outbreaks, thus acting as an ’early-warning system’. See below for [a general introduction to wastewater epidemiology](#background-wastewater-based-epidemiology). + +This dashboard presents wastewater epidemiology data from various Swedish cities. Combined, the cities included here have a total population of over 4 million people (more than 40% of the Swedish population). The data presented in this dashboard originates from analyses conducted by three laboratories. Two of the laboratories are part of [SEEC (The Swedish Environmental Epidemiology Center)](https://www.scilifelab.se/pandemic-response/pandemic-laboratory-preparedness/swedish-environmental-epidemiology-center-seec/), which was established by researchers at four Swedish universities (Swedish University of Agricultural Sciences, KTH Royal Institute of Technology, Karolinka Institute, and Uppsala University) as a pandemic laboratory preparedness resource project within [SciLifeLab’s Pandemic Preparedness Program](https://www.scilifelab.se/pandemic-response). The two nodes of SEEC involved in wastewater analysis are **SEEC-KTH** (based at KTH Royal Institute of Technology (KTH), led by associate professor Zeynep Cetecioglu Gurol) and **SEEC-SLU** (based at the Department of Aquatic Sciences and Assessment at SLU (Swedish University of Agricultural Sciences), led by associate professor Anna J. Székely and associate professor Maja Malmberg). The third laboratory presenting their work on this dashboard is based at the **University of Gothenburg (GU)** and led by professor Heléne Norder. Please see the ['Links to pathogen specific dashboards section'](#Links-to-pathogen-specific-dashboards) below to locate the data provided by the three laboratories. + +Please note that each laboratory processes and analyses their wastewater samples in slightly different ways. Therefore, the absolute values measured by different laboratories are not comparable with each other, and minor differences in trends may occur. + +## Links to pathogen specific dashboards + +- [**SARS-CoV-2 quantification**](/dashboards/covid_quantification/): Data, visualisations, and information related to the quantification of SARS-CoV-2 in wastewater in different areas of Sweden. All three groups share historic data for this pathogen, while ongoing data is provided by SEEC-SLU. + +- [**Enteric virus quantification**](/dashboards/enteric_quantification/): Data, visualisations, and information related to the quantification of enteric viruses in wastewater Gothenburg. This data is collected, analysed, and shared by the Norder group at Gothenburg university (GU). + +- [**Influenza quantification**](/dashboards/influenza_quantification/): Data, visualisations, and information related to the quantification of Influenza viruses in wastewater in different areas of Sweden. These data are collected, analysed, and shared by the SEEC-SLU. + +- [**RSV quantification**](/dashboards/wastewater_rsv/): Data, visualisations, and information related to the quantification of Respiratory Syncytial Virus (RSV) in wastewater in different areas of Sweden. These data are collected, analysed, and shared by the SEEC-SLU. + +## Availability of code + +All code used to produce the visualisations on the tabs on this dashboard is available on [GitHub](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/tree/main/wastewater). The particular scripts used in each case are linked below the individual visualisations. + +## Sample collection sites + +Below is a map showing the wastewater treatment plants (WWTPs) from which wastewater samples are being collected and analysed by groups sharing data on this dashboard. + +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_map_test.json" height="600px" >}}
+
+ +**Code used to produce map:** [Script to produce map](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/interactive_wastewater_map.py). + +The table below lists; the towns/cities monitored by groups sharing data on this dashboard, wastewater treatment plants (WWTP) that samples were collected from, the number of people in the catchment area (Number of people), whether monitoring is actively ongoing (Active?), the viruses monitored at the site (Viruses monitored), and the group(s) that have monitored/are monitoring the site. An asterisk (*) next to the number of people indicates that the value is an estimate of the people connected based on BOD-7 value, rather than the number of people physically connected to the WWTP. The information in the table below is [available for download as an excel file](https://blobserver.dc.scilifelab.se/blob/overall_ww_collection_sites.xlsx). + +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_overallsites.json" height="850px" >}}
+
+ +## Background: Wastewater-based epidemiology + +The genomes of many pathogens, including SARS-CoV-2, can be detected in faecal samples collected from infected individuals (e.g. COVID-19 patients) using polymerase chain reaction (PCR) tests (see, for example, [Wu _et al_. (2020)]()). Monitoring the levels of pathogens (e.g. SARS-CoV-2) in wastewater from communities can therefore provide an indication of the prevalence of that pathogen at a population-wide level, referred to as wastewater-based epidemiology ([Corpuz _et al._, 2020](https://doi.org/10.1016/j.scitotenv.2020.140910)). + +Wastewater, also referred to as “sewage” includes water from multiple sources in each household, including kitchen sinks, toilets, and showers. However, it could also include water from multiple other sources (for example, rainwater and water from industrial use). Samples used for wastewater epidemiology studies are collected periodically at wastewater treatment facilities; enabling assessments of viral load over time. Wastewater monitoring has been shown to be an effective early-warning system for outbreaks. For example, [Peccia _et al._ (2020)](https://doi.org/10.1038/s41587-020-0684-z) showed early on in the COVID-19 pandemic that SARS CoV-2 virus content in wastewater predicted increases in infection in the population and followed the epidemic trend, as measured by the number of COVID-19 cases and hospitalisation rates. [Wang _et al._ (2022)](https://pubmed.ncbi.nlm.nih.gov/36035197/) even showed that the level of SARS-CoV-2 viral genomes in wastewater increased 1-2 weeks before there was an increase in the number of hospitalised COVID-19 patients. Since the COVID-19 pandemic, surveillance of viral RNA levels in wastewater is used to monitor and predict the spread of the disease. + +Wastewater monitoring should primarily be seen as a surveillance system. Taken together with data from other sources such as patient testing, intensive care admissions etc., it may help in understanding the regional dynamics of disease outbreaks. + +{{< ww_dynamic_content >}} diff --git a/content/english/topics/rsv.md b/content/english/topics/rsv.md new file mode 100644 index 000000000..dca186dd1 --- /dev/null +++ b/content/english/topics/rsv.md @@ -0,0 +1,23 @@ +--- +title: Respiratory Syncytial Virus (RSV) +description: Respiratory syncytial virus (RSV) is a common virus. It causes cold-like symptoms, ranging from blocked/runny nose, cough, sneezing, tiredness, and fever in adults. +banner: /topic_thumbs/topic_rsv.jpg +credits: +toc: false +topic: RSV +menu: + topics_menu: + name: Respiratory Syncytial Virus (RSV) + identifier: rsv +--- + + +## Background + +[Respiratory syncytial virus (RSV)](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/rs-virusinfektion/) is a common virus. It causes cold-like symptoms, ranging from blocked/runny nose, cough, sneezing, tiredness, and fever in adults. Symptoms in infants can also include irritability and reduced appetite. The majority of cases resolve without treatment, but infants and older adults can develop serious symptoms that require intervention. + +RSV spreads through droplets released when infected individuals cough or sneeze. The risk of infection can be reduced by cleaning surfaces and toys regularly, distancing from infected individuals, and hand washing. The [RSV vaccine](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/vaccinationer/vacciner-som-anvands-i-sverige/vaccin-mot-rs-virus/) is recommended for pregnant women to protect newborns, and older adults. The vaccination reduces the risk of pneumonia and bronchiolitis. + +RSV outbreaks can occur at any time, but are most common during the colder months, typically lasting around five months. The exact timing can differ between regions, but in Sweden, Folkhälsomyndigheten (The Public Health Agency of Sweden) publishes a weekly overview of reported [RSV cases](https://www.folkhalsomyndigheten.se/folkhalsorapportering-statistik/statistik-a-o/sjukdomsstatistik/rsv-veckorapporter/aktuell-veckorapport-om-rsv/) by county between October and May. [These reports (available only in Swedish)](https://www.folkhalsomyndigheten.se/folkhalsorapportering-statistik/statistik-a-o/sjukdomsstatistik/rsv/), enable the spread of RSV to be tracked across Sweden. The data is gathered from voluntary reports by laboratories and pediatric clinics. + +More information on RSV is available from [European Centre for Disease Prevention and Control (ECDC)](https://www.ecdc.europa.eu/en/respiratory-syncytial-virus-rsv), [Folkhälsomyndigheten (Public Health Agency of Sweden)](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/rs-virusinfektion/), and other resources are [Centers for Disease Control and Prevention](https://www.cdc.gov/rsv/site.html),[ National Foundation for Infectious Diseases](https://www.nfid.org/infectious-disease/rsv/), and [RSVirus.se](https://www.rsvirus.se/en/what-is-rsv/). \ No newline at end of file diff --git a/content/svenska/dashboards/RECOVAC.md b/content/svenska/dashboards/RECOVAC.md index eb6801ab5..fa53a4a28 100644 --- a/content/svenska/dashboards/RECOVAC.md +++ b/content/svenska/dashboards/RECOVAC.md @@ -8,6 +8,7 @@ menu: dashboard_menu: identifier: recovac name: Registerbaserade vaccindata (RECOVAC) +dashboards_topics: [COVID-19, Infectious diseases] data_status: "updating" # or "historic" --- diff --git a/content/svenska/dashboards/covid_quantification/_index.md b/content/svenska/dashboards/covid_quantification/_index.md new file mode 100644 index 000000000..6eea44b1b --- /dev/null +++ b/content/svenska/dashboards/covid_quantification/_index.md @@ -0,0 +1,128 @@ +--- +title: SARS-CoV-2 kvantifiering +banner: /dashboard_thumbs/wastewater_sars-cov2.png +description: Utforska SARS-CoV-2-nivåer i avloppsvatten över hela Sverige. Veckodata från SLU-SEEC spårar covid-19-trender, som täcker 43 % av befolkningen, och hjälper till att förutsäga utbrott. +menu: + dashboard_menu: + identifier: wastewater_SARS-CoV-2_quantification + name: "Avloppsvatten: SARS-CoV-2 kvantifiering" +plotly: true +aliases: + - /sv/dashboards/wastewater/covid_quant_slu/ + - /sv/dashboards/wastewater/covid_quantification/ + - /sv/dashboards/wastewater/covid_quantification/covid_quant_slu/ +dashboards_topics: [Wastewater Surveillance, COVID-19, Infectious diseases, Epidemiology] +data_status: "updating" +--- + + +## Introduktion + +Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) är ett enkelsträngat RNA-virus som orsakar COVID-19 (coronavirus disease 2019), den luftvägsinfektion som orsakade COVID-19-pandemin. SARS-CoV-2 identifierades först i staden Wuhan, Hubei, Kina, och Världshälsoorganisationen (WHO) deklarerade att viruset var ett internationellt akut hot mot människors hälsa mellan den 30 januari 2020 och 5 maj 2023. För mer information om symtom, risker och vaccination mot influensavirus, besök [Folkhälsomyndighetens motsvarande sida](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/covid-19/). + +SARS-CoV-2-viruspartiklar kan utsöndras via andningsdroppar, aerosoler och kan även förekomma i avföringen hos smittade individer. Detta möjliggör att SARS-CoV-2-viruset kan upptäckas i avloppsvatten och att infektionstrender på populationsnivå av COVID-19 kan följas genom avloppsvattenbaserad epidemiologi (på engelska wastewater-based epidemiology, WBE). + +Data som presenteras på denna sida genereras i Sveriges lantbruksuniversitets (SLU) laboratorier vid Svenskt Miljöepidemiologiskt Centrum (SEEC). Data och visualiseringar på den här sidan uppdateras vanligtvis veckovis, oftast på måndagar. För en omfattande förståelse, vänligen hänvisa till [Metoder](#metoder) avsnittet. För en allmän översikt om avloppsvattenövervakning, vänligen besök [Avloppsbaserad epidemiologi i Sverige](/dashboards/wastewater_background/) + +
+Viktig notering:
+Notera att de poäng som tillhandahålls i datasetet och som visas i grafen nedan är preliminära, så korrigeringar och ändringar kan förekomma. Data och information om gruppen på den här dashboarden uppdateras kontinuerligt.
Notera också att även om samma metoder används för alla städer som visas på den här fliken, kan skillnader i befolkningen och hur avloppsvatten samlas in i olika städer påverka jämförelser dem emellan. +
+ +## Visualiseringar + +
Senast uppdaterad:
+ + + + + +
+ Att rotera mobiltelefonen kan förbättra grafens layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_combined_slu_regular.json" height="800px" >}}
+
+ +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_regular.py). + +## Kommentarer från forskargruppen + +
Datum:
Kommentar:
+ +{{< ww_dynamic_content >}} + +## Rapporter från forskargruppen + +Forskargruppen tillhandahåller även en rapport som sammanfattar informationen från deras avloppsvattenmätningar. Den senaste rapporten finns tillgänglig som pdf [här](https://blobserver.dc.scilifelab.se/blob/Latest_weekly_report_SEEC-SLU.pdf) (endast tillgänglig på svenska). + +## Dataset + +**Kontakt:** och + +**Ladda ner data:** [Genkopieantal av luftvägsvirus normaliserat mot PMMoV-genkopieantal, CSV fil.](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data finns tillgängligt från vecka 38 2020 och uppdateras veckovis. + +**Citera datasetet:** + +Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. . + +## Metoder + +Avloppsvatten samlas in från flera olika reningsverk runt om i landet. För mer information om reningsverken, besök sidan om [bakgrunden till avloppsvattenövervakning](/dashboards/wastewater_background/). För de flesta städer som representeras på den här sidan används flödeskompenserade provtagare vid avloppsreningsverken (WWTP) för att samla in råa, obehandlade avloppsprover representativa för en enskild dag. Uppsala är undantaget, där prover samlas in dagligen och sedan kombineras flödesproportionellt till ett sammansatt veckoprov som används för analyserna. + +Proverna bearbetas enligt standardmetoder. För prover som samlats in fram till och med vecka 18 2021 koncentrerades virala partiklar med hjälp av elektronegativ filtrering ([Ahmed _et al._, 2020](https://www.sciencedirect.com/science/article/pii/S004896972033480X)). Från vecka 19 2021 har det virala genomiska materialet istället koncentrerats och extraherats med hjälp av en metod som använder Maxwell RSC Enviro TNA-kitet (Promega). + +Absolut kvantifiering av antalet kopior av SARS-CoV-2-genomet utförs med ett One-Step RT-qPCR. Till och med vecka 31 2023 kvantifierades virusgenom med ett [SARS-CoV-2 specifikt N1-test från Centers for Disease Control and Prevention (CDC)](https://www.cdc.gov/coronavirus/2019-ncov/lab/rt-pcr-panel-primer-probes.html). För att korrigera för variation i population och avloppsvattenflöde kvantifieras förekomsten av pepper mild mottle virus (PMMoV), ett växtvirus från peppar som människor får i sig via maten. PMMoV kvantifieras med hjälp av en modifierad version av testet i [Zhang _et al._ (2006)](https://doi.org/10.1371/journal.pbio.0040003). PMMoV är det vanligaste RNA-viruset i avföring från människa och används för att uppskatta mängden avföring från människa i avloppsvattenprover ([Symonds _et al._, 2019](https://doi.org/10.1371/journal.ppat.1007639)). För mer information om hur normaliseringsmetoden utvärderats se [Isaksson _et al._ (2022)](https://www.mdpi.com/2076-3298/9/3/39). + +Data i graferna och datafilen presenteras i tre olika format: + +- **PMMoV-normaliserat SARS-CoV-2-innehåll** visar förhållandet mellan det kopieantal som uppmätts med SARS-CoV-2-testet och PMMoV-testet, multiplicerat med 1000. Eftersom SARS-CoV-2-testet ger en proxy för SARS-CoV-2-virusmängd i avloppsvattnet och PMMoV är en proxy för avföringsinnehållet (som är relaterat till den bidragande befolkningen) kan förhållandet mellan de två betraktas som en proxy för förekomsten av SARS-CoV-2-infektioner i befolkningen i avloppsvattnets upptagningsområde. +- **Koncentration av SARS-CoV-2-genomkopior** visar koncentrationen av SARS-CoV-2-kopienummer som uppmäts i avloppsvattnet. Dessa data påverkas av hur de olika avloppsvattensystemen är uppbyggda och lämpar sig därför inte för jämförelse mellan platser. Virushalten i avloppsvattnet påverkas också av väderhändelser som påverkar avloppsflödet (t.ex. kraftigt regn eller snösmältning). +- **SARS-CoV-2-genomkopior/dag/invånare** representerar den uppskattade dagliga virusmängden i avloppsvattnet normaliserad för antalet invånare anslutna till systemet. Dessa data går att jämföra mellan olika platser. Vissa fördröjningar i presentationen av dessa data kan förekomma, jämfört med de andra analyserna. + +**Citera metoden:** + +Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. _Environments_, _9_, 39. . + +## Relaterade dataset + +- Genomiska SARS-CoV-2 analyser från avloppsvatten (data tillgängligt på European Nucleotide Archive (ENA) under projektnummer [PRJEB60156](https://www.ebi.ac.uk/ena/browser/view/PRJEB60156)). Forskargruppen från SLU har analyserat avloppsvattenprover från Uppsala, Örebro, Umeå och Kalmar (2021-2022). + +## Arkiverade data + +- [Historiska data för Örebro och Umeå, mängd SARS-CoV-2 i avloppsvatten från Umeå respektive Örebro mellan oktober 2020 och juni 2021](/sv/dashboards/covid_quantification/historic_orebro_umea). +- [Historiska SARS-CoV-2-data i avloppsvatten från SEEC-SLU](/dashboards/covid_quantification/historic_covid_SLU) + +## Kvantifiering av SARS-CoV-2 av andra grupper + +Andra grupper kvantifierade också SARS-CoV-2 i avloppsvatten i Sverige. Grupperna använde olika metoder för att kvantifiera SARS-CoV-2 och mätte i vissa fall olika områden av Sverige. All data från grupperna nedan är historisk: + +- [**Göteborgs universitet (GU):**](/sv/dashboards/covid_quantification/covid_quant_gu/) Kvantifiering av mängd SARS-CoV-2 i avloppsvatten från Göteborg från Helene Norders forskargrupp vid GU. + +- [**SEEC-KTH noden:**](/sv/dashboards/covid_quantification/covid_quant_kth/)Kvantifiering av mängd SARS-CoV-2 i avloppsvatten från Malmö, Stockholm och Göteborg från forskargruppen SEEC-KTH (uppdateras inte efter juni 2023, historiska data finns tillgängliga). + diff --git a/content/svenska/dashboards/wastewater/covid_quantification/covid_quant_GU.md b/content/svenska/dashboards/covid_quantification/covid_quant_GU.md similarity index 84% rename from content/svenska/dashboards/wastewater/covid_quantification/covid_quant_GU.md rename to content/svenska/dashboards/covid_quantification/covid_quant_GU.md index 80c5b246b..ba269b033 100644 --- a/content/svenska/dashboards/wastewater/covid_quantification/covid_quant_GU.md +++ b/content/svenska/dashboards/covid_quantification/covid_quant_GU.md @@ -3,14 +3,10 @@ title: Mängd SARS-COV-2 i avloppsvatten (GU) plotly: true aliases: - /sv/dashboards/wastewater/covid_quant_gu/ + - /sv/dashboards/wastewater/covid_quantification/covid_quant_gu/ --- -
- Gå tillbaka till SARS-CoV-2-kvantifiering inom avloppsvattenbaserad epidemiologi-dashboarden -
-
- -
Från april 2024 kommer SARS-COV-2 data från GU inte längre uppdateras. SARS-COV-2 data efter april 2024 finns tillgängligt från andra forskargrupper.
+
Från april 2024 kommer SARS-COV-2 data från GU inte längre uppdateras. SARS-COV-2 data efter april 2024 finns tillgängligt från andra forskargrupper.
## Introduktion @@ -18,9 +14,9 @@ Denna webbsida visar virusdata relaterade till SARS-CoV-2 i Göteborg, Sverige. Gruppen började samla in prover den 10 februari (vecka 7) 2020. De uppdaterade metoderna relaterade till att analysera SARS-CoV-2 proverna under 2023 och började använda denna uppdaterade metod den 15 maj (vecka 20) 2023. Den här sidan berör endast data som samlats in med deras uppdaterade metod. Data och visualisering på den här **sidan uppdateras inte längre**. -Alla forskningsdata som använder den gamla metoden finns tillgängliga här ['Historisk mängd SARS-COV-2 i avloppsvatten (GU)'](/sv/dashboards/wastewater/covid_quantification/historic_covid_gu/). +Alla forskningsdata som använder den gamla metoden finns tillgängliga här ['Historisk mängd SARS-COV-2 i avloppsvatten (GU)'](/sv/dashboards/covid_quantification/historic_covid_gu/). -Studierna av SARS-CoV-2 i avloppsvatten har inom Nordergruppen skett parallellt med arbetet att studera enteriska virus i avloppsvatten, dessa data delas också [på portalen](/sv/dashboards/wastewater/covid_quantification/historic_covid_gu/). +Studierna av SARS-CoV-2 i avloppsvatten har inom Nordergruppen skett parallellt med arbetet att studera enteriska virus i avloppsvatten, dessa data delas också [på portalen](/sv/dashboards/covid_quantification/historic_covid_gu/). ## Insamlingsplatser för avloppsvatten @@ -63,15 +59,12 @@ Wang, H., Churqui, M.P., Tunovic, T., Enache, L., Johansson, A., Karmander, A., Insamling av avloppsvatten sker genom en fast insamlare som samlar in 30ml avloppsvatten per 10,000m3 av inkommande avloppsvatten. För analys veckovis poolas sju prover (varje avloppsvattenprov representerar insamling under ett dygn). Veckoprovet består av 1.5-15l avloppsvatten (beroende av flödet) som skickas till Klinisk Mikrobiologi vid Sahlgrenska Universitetssjukhuset för analys. Analys sker på måndagen i veckan efter provinsamling. -På Klinisk Mikrobiologi på Sahlgrenska Universitetssjukhuset används två metoder utvecklade inom gruppen för att koncentrera virusmängderna. Den metod som nu används använder sig av ultrafiltrering som primär metod. Den tidigare metoden använde ett elektropositivt filter (Argonide, Florida, USA) för att koncentrera proverna ([Saguti _et al._, 2021](https://pubmed.ncbi.nlm.nih.gov/33212338/)). Båda metoderna användes parallellt mellan vecka 20 och vecka 42 2023. All information som relateras till data insamlat med den tidigare används metoden finns på webbsidan för ['Historiska data för SARS-COV-2 i avloppsvatten'](/sv/dashboards/wastewater/covid_quantification/historic_covid_gu/). +På Klinisk Mikrobiologi på Sahlgrenska Universitetssjukhuset används två metoder utvecklade inom gruppen för att koncentrera virusmängderna. Den metod som nu används använder sig av ultrafiltrering som primär metod. Den tidigare metoden använde ett elektropositivt filter (Argonide, Florida, USA) för att koncentrera proverna ([Saguti _et al._, 2021](https://pubmed.ncbi.nlm.nih.gov/33212338/)). Båda metoderna användes parallellt mellan vecka 20 och vecka 42 2023. All information som relateras till data insamlat med den tidigare används metoden finns på webbsidan för ['Historiska data för SARS-COV-2 i avloppsvatten'](/sv/dashboards/covid_quantification/historic_covid_gu/). -Nukleinsyror extraheras från ett koncentrerat prov på 1 ml med hjälp av QIAamp Circulating Nucleic Acid Kit (Qiagen, Hilden, Germany). Realtids-PCR (RT-qPCR) användes för att detektera den RNA-beroende RNA polymerase (RdRP) regionen på SARS-CoV-2. Alla körningar innehöll en positiv kontroll bestående av en seriellt utspädd plasmid (Eurofins Genomics, Ebersberg, Germany). Nukleasfritt vatten används som negativ kontroll. Ct-värden från qPCR användes för att kvantifiera mängd SARS-CoV-2 genom i provet. En detaljerad beskrivning av hur mängd SARS-CoV-2 beräknas finns i [Hellmér et al. (2014)](https://doi.org/10.1128/AEM.01981-14), [Saguti _et al._ (2021)](https://doi.org/10.1016/j.watres.2020.116620), [Wang _et al._ (2022)](https://doi.org/10.1016/j.isci.2022.105000), och [Wang _et al._ (2023)](https://doi.org/10.1016/j.scitotenv.2023.165012). I den tidigare använda metoden, som används tom vecka 42 223, beräknades den relativa virusmängden i avloppsvatten genom att dela mängd viralt genom i prover med mängd SARS-CoV-2 genom i ingående mängd avloppsvatten som detekterades i vecka 11 (mitten av mars) 2020. Prover från alla följande veckor har innehållit detekterbara mängder SARS-CoV-2 virus (se webbsidan för [Historiska data för SARS-COV-2 i avloppsvatten](/sv/dashboards/wastewater/covid_quantification/historic_covid_gu/)). Med den nya metoden, som används för de data som visas på denna webbsida, visas istället mängd virusgenom som ett genomsnitt baserat på en veckas insamlad mängd avloppsvatten. +Nukleinsyror extraheras från ett koncentrerat prov på 1 ml med hjälp av QIAamp Circulating Nucleic Acid Kit (Qiagen, Hilden, Germany). Realtids-PCR (RT-qPCR) användes för att detektera den RNA-beroende RNA polymerase (RdRP) regionen på SARS-CoV-2. Alla körningar innehöll en positiv kontroll bestående av en seriellt utspädd plasmid (Eurofins Genomics, Ebersberg, Germany). Nukleasfritt vatten används som negativ kontroll. Ct-värden från qPCR användes för att kvantifiera mängd SARS-CoV-2 genom i provet. En detaljerad beskrivning av hur mängd SARS-CoV-2 beräknas finns i [Hellmér et al. (2014)](https://doi.org/10.1128/AEM.01981-14), [Saguti _et al._ (2021)](https://doi.org/10.1016/j.watres.2020.116620), [Wang _et al._ (2022)](https://doi.org/10.1016/j.isci.2022.105000), och [Wang _et al._ (2023)](https://doi.org/10.1016/j.scitotenv.2023.165012). I den tidigare använda metoden, som används tom vecka 42 223, beräknades den relativa virusmängden i avloppsvatten genom att dela mängd viralt genom i prover med mängd SARS-CoV-2 genom i ingående mängd avloppsvatten som detekterades i vecka 11 (mitten av mars) 2020. Prover från alla följande veckor har innehållit detekterbara mängder SARS-CoV-2 virus (se webbsidan för [Historiska data för SARS-COV-2 i avloppsvatten](/sv/dashboards/covid_quantification/historic_covid_gu/)). Med den nya metoden, som används för de data som visas på denna webbsida, visas istället mängd virusgenom som ett genomsnitt baserat på en veckas insamlad mängd avloppsvatten. ## Arkiverade data -- [Historiska SARS-CoV-2 data från Göteborg insamlade mellan vecka 7 2020 och vecka 43 2023](/sv/dashboards/wastewater/covid_quantification/historic_covid_gu/). +- [Historiska SARS-CoV-2 data från Göteborg insamlade mellan vecka 7 2020 och vecka 43 2023](/sv/dashboards/covid_quantification/historic_covid_gu/). + -
-
- Gå tillbaka till SARS-CoV-2-kvantifiering inom avloppsvattenbaserad epidemiologi-dashboarden -
diff --git a/content/svenska/dashboards/wastewater/covid_quantification/covid_quant_KTH.md b/content/svenska/dashboards/covid_quantification/covid_quant_KTH.md similarity index 93% rename from content/svenska/dashboards/wastewater/covid_quantification/covid_quant_KTH.md rename to content/svenska/dashboards/covid_quantification/covid_quant_KTH.md index 6ee7c5cdc..7c3199e27 100644 --- a/content/svenska/dashboards/wastewater/covid_quantification/covid_quant_KTH.md +++ b/content/svenska/dashboards/covid_quantification/covid_quant_KTH.md @@ -3,14 +3,11 @@ title: Mängd SARS-COV-2 i avloppsvatten (SEEC-KTH) plotly: true aliases: - /sv/dashboards/wastewater/covid_quant_kth/ ---- + - /sv/dashboards/wastewater/covid_quantification/covid_quant_kth/ -
- Gå tillbaka till SARS-CoV-2-kvantifiering inom avloppsvattenbaserad epidemiologi-dashboarden -
-
+--- -
Från juni 2023 kommer SARS-COV-2 data från SEEK-KTH inte längre uppdateras. SARS-COV-2 data efter juni 2023 finns tillgängligt från andra forskargrupper.
+
Från juni 2023 kommer SARS-COV-2 data från SEEK-KTH inte längre uppdateras. SARS-COV-2 data efter juni 2023 finns tillgängligt från andra forskargrupper.
## Introduktion @@ -112,13 +109,9 @@ Efter koncentration, filtrering och beredning analyseras proverna med RT-qPCR -t ## Arkiverade data -- [Historiska data for Stockholm; genkopieantal per vecka (ofiltrerat avloppsvatten) standardiserat med bovint coronavirus och PMMoV, april 2020 till augusti 2021](/sv/dashboards/wastewater/covid_quantification/historic_stockholm). +- [Historiska data for Stockholm; genkopieantal per vecka (ofiltrerat avloppsvatten) standardiserat med bovint coronavirus och PMMoV, april 2020 till augusti 2021](/sv/dashboards/covid_quantification/historic_stockholm). ## Relaterade datasets - Genomiska SARS-CoV-2 analyser från avloppsvatten data (tillgängligt på European Nucleotide Archive (ENA) under projektnummer [PRJEB60156](https://www.ebi.ac.uk/ena/browser/view/PRJEB60156)): forskargruppen från KTH har analyserat avloppsvattenprover från Stockholm och Malmö (2021-2022). -
-
- Gå tillbaka till SARS-CoV-2-kvantifiering inom avloppsvattenbaserad epidemiologi-dashboarden -
diff --git a/content/svenska/dashboards/wastewater/covid_quantification/covid_quant_SLU.md b/content/svenska/dashboards/covid_quantification/historic_covid_SLU.md similarity index 71% rename from content/svenska/dashboards/wastewater/covid_quantification/covid_quant_SLU.md rename to content/svenska/dashboards/covid_quantification/historic_covid_SLU.md index 55f5a1599..d9790c038 100644 --- a/content/svenska/dashboards/wastewater/covid_quantification/covid_quant_SLU.md +++ b/content/svenska/dashboards/covid_quantification/historic_covid_SLU.md @@ -1,24 +1,13 @@ --- -title: Mängd SARS-COV-2 i avloppsvatten (SEEC-SLU) +title: Historiska SARS-CoV-2-data i avloppsvatten från SEEC-SLU plotly: true -aliases: - - /sv/dashboards/wastewater/covid_quant_slu/ --- -
- Gå tillbaka till SARS-CoV-2-kvantifiering inom avloppsvattenbaserad epidemiologi-dashboarden -
-
- ## Introduktion -_Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)_ är ett enkelsträngat RNA-virus som orsakar COVID-19 (coronavirus disease 2019), den luftvägsinfektion som orsakade COVID-19-pandemin. SARS-CoV-2 identifierades först i staden Wuhan, Hubei, Kina, och Världshälsoorganisationen (WHO) deklarerade att viruset var ett internationellt akut hot mot människors hälsa mellan den 30 januari 2020 och 5 maj 2023. - -SARS-CoV-2-viruspartiklar kan utsöndras via andningsdroppar, aerosoler och kan även förekomma i avföringen hos smittade individer. Detta möjliggör att SARS-CoV-2-viruset kan upptäckas i avloppsvatten och att infektionstrender på populationsnivå av COVID-19 kan följas genom avloppsvattenbaserad epidemiologi (på engelska wastewater-based epidemiology, WBE). +Data som presenteras på denna sida genererades i SLU:s (Sveriges lantbruksuniversitet) laboratorier av SEEC (Swedish Environmental Epidemiology Center). Projektet var en del av [SciLifeLabs Pandemic Laboratory Preparedness (PLP) Program](/resources/), ledd av Anna J. Székely (Institutionen för vatten och miljö, SLU). Avloppsvattenanalyser övervakades av Anna J. Székely och Maja Malmberg (Virologienheten vid Institutionen för biomedicinsk vetenskap och veterinär folkhälsovetenskap, SLU). Denna sida handlar om den historiska kvantifieringen av nivåerna av SARS-CoV-2-virus i flera städer över hela Sverige. Projektet hade den bredaste geografiska täckningen över Sverige och genererade data för 43% av den svenska befolkningen. -Data som presenteras på denna sida genereras i Sveriges lantbruksuniversitets (SLU) laboratorier vid Svenskt Miljöepidemiologiskt Centrum (SEEC). Projektet ingår i [SciLifeLab's Pandemic Laboratory Preparedness (PLP) Program](/resources/) och leds av docent Anna J. Székely (Institutionen för vatten och miljö, SLU). Avloppsanalyserna övervakas av Anna J. Székely Javier Vargas och Maja Malmberg (Institutionen för biomedicin och veterinär folkhälsovetenskap, sektionen för virologi, SLU). Denna sida visar kvantifiering av nivåerna av SARS-CoV-2-virus i flera orter över hela Sverige. Projektet har för närvarande den bredaste geografiska täckningen i Sverige och genererar data som täcker 43% av den svenska befolkningen. - -Data och visualiseringar på den här sidan uppdateras vanligtvis veckovis, oftast på fredagar. Notera att de poäng som tillhandahålls i datasetet och som visas i grafen nedan är preliminära, så korrigeringar och ändringar kan förekomma. Data och information om metod som används uppdateras kontinuerligt. +Observera att data och visualiseringar på denna sida inte längre uppdateras. Poängen i datasetet och som avbildas i diagrammen är slutgiltiga, även om mindre korrigeringar kan ha tillämpats i efterhand. Denna instrumentpanel fungerar som en post över projektets resultat under den aktiva övervakningsperioden. ## Insamlingsplatser för avloppsvatten @@ -30,7 +19,7 @@ SLU-SEEC samlar in och analyserar prover från ett flertal orter. Nedan visas en ## Visualiseringar -
Senast uppdaterad:
+
Last updated: 2024-09-30
Notera: Historisk data för Ekerö, Enköping, Knivsta, Tierp, Vaxholm, Älvkarleby, och Österåker finns tillgänglig i det länkade datasetet ovan och ingår inte längre i visualiseringen nedan. @@ -69,16 +58,14 @@ Notera också att även om samma metoder används för alla städer som visas p
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_combined_slu_regular.json" height="800px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/historic_wastewater_combined_slu_regular.json" height="800px" >}}
-**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_regular.py). +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/archive/historic_combined_slu_regular.py). ## Kommentarer från forskargruppen -
Datum:
Kommentar:
- -{{< ww_dynamic_content >}} +
Date: 2024-03-20
Commentary: An error occurred during the processing of the data for week 11-2024, due to a normalization issue. Consequently, the SCV2 data appeared to be 16 times higher and the influenza A data 4 times higher than their actual values. We identified and corrected this error the following day while preparing our official report, and promptly updated the website. We appreciate those who brought this to our attention and apologize to anyone alarmed by the inaccurate results. It's important to note that the data on the website is always preliminary. Please feel free to contact us with any questions or concerns.
## Rapporter från forskargruppen @@ -88,7 +75,7 @@ Forskargruppen tillhandahåller även en rapport som sammanfattar informationen **Kontakt:** och -**Ladda ner data:** [Genkopieantal av luftvägsvirus normaliserat mot PMMoV-genkopieantal, CSV fil.](https://raw.githubusercontent.com/ScilifelabDataCentre/pathogens-portal/develop/static/ww_data_temp/SLU_wastewater_data.csv). Data finns tillgängligt från vecka 38 2020 och uppdateras veckovis. +**Ladda ner data:** [Genkopieantal av luftvägsvirus normaliserat mot PMMoV-genkopieantal, CSV fil.](https://blobserver.dc.scilifelab.se/blob/historic_SLU_wastewater_data.csv). Data finns tillgängligt från vecka 38 2020 och uppdateras veckovis. **Citera datasetet:** @@ -108,15 +95,3 @@ Absolut kvantifiering av antalet kopior av SARS-CoV-2-genomet utförs med ett On Data som presenteras i grafen visar förhållandet mellan det kopieantal som uppmätts med Flu SC2 Multiplex-testet och PMMoV-testet, multiplicerat med 1000. Resultat från Flu SC2 Multiplex-testet är en proxy för mängden SARS-CoV-2 i avloppsvattnet och PMMoV är en proxy för mängden avföring från människa i avloppsvattnet. Detta förhållande kan i sin tur anses vara en proxy för andelen infekterade individer i populationen i avloppsvattnets upptagningsområde. För att kunna jämföra den data som genereras med den nuvarande metoden med data som genererats med tidigare metoder och kvantifieringsanalyser, har äldre data omvandlats med hjälp av omvandlingsfaktorer. Omvandlingsfaktorerna beräknas baserat på jämförelseperioder när gamla och nya metoder använts parallellt. -## Arkiverade data - -- [Historiska data för Örebro och Umeå, mängd SARS-CoV-2 i avloppsvatten från Umeå respektive Örebro mellan oktober 2020 och juni 2021](/sv/dashboards/wastewater/covid_quantification/historic_orebro_umea). - -## Relaterade dataset - -- Genomiska SARS-CoV-2 analyser från avloppsvatten (data tillgängligt på European Nucleotide Archive (ENA) under projektnummer [PRJEB60156](https://www.ebi.ac.uk/ena/browser/view/PRJEB60156)). Forskargruppen från SLU har analyserat avloppsvattenprover från Uppsala, Örebro, Umeå och Kalmar (2021-2022). - -
-
- Gå tillbaka till SARS-CoV-2-kvantifiering inom avloppsvattenbaserad epidemiologi-dashboarden -
diff --git a/content/svenska/dashboards/wastewater/covid_quantification/historic_covid_gu.md b/content/svenska/dashboards/covid_quantification/historic_covid_gu.md similarity index 97% rename from content/svenska/dashboards/wastewater/covid_quantification/historic_covid_gu.md rename to content/svenska/dashboards/covid_quantification/historic_covid_gu.md index c65a75c21..abb168e69 100644 --- a/content/svenska/dashboards/wastewater/covid_quantification/historic_covid_gu.md +++ b/content/svenska/dashboards/covid_quantification/historic_covid_gu.md @@ -3,13 +3,15 @@ title: Historiska data för SARS-COV-2 i avloppsvatten (GU) plotly: true aliases: - /sv/dashboards/wastewater/covid_quant_gu/historic_covid_gu/ + - /sv/dashboards/wastewater/historic_covid_gu/ + - /sv/dashboards/wastewater/covid_quantification/historic_covid_gu/ ---
De data som presenteras här uppdateras inte längre utan bevaras för historisk referens.
-Denna webbsida visar historiska epidemiologiska data relaterade till SARS-CoV-2 i Göteborg, Sverige. Data har insamlats av Professor Helene Norders forskargrupp vid Göteborgs universitet, i samarbete med andra medarbetare från Göteborgs universitet och Sahlgrenska universitetssjukhuset (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström). Data som visas på denna sida samlades in mellan vecka 7 2020 och vecka 42 2023 (dvs mellan 10 februari 2020 och 23 oktober 2023). Forskargruppen började under vecka 20 2023 att använda en ny metod för att studera SARS-CoV-2. Data som produceras med denna nya metod fortsätter att uppdateras ungefär en gång i veckan och är tillgängliga på webbsidan ['Mängd SARS-COV-2 i avloppsvatten (GU)'](/sv/dashboards/wastewater/covid_quantification/covid_quant_gu/). +Denna webbsida visar historiska epidemiologiska data relaterade till SARS-CoV-2 i Göteborg, Sverige. Data har insamlats av Professor Helene Norders forskargrupp vid Göteborgs universitet, i samarbete med andra medarbetare från Göteborgs universitet och Sahlgrenska universitetssjukhuset (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti, and Kristina Nyström). Data som visas på denna sida samlades in mellan vecka 7 2020 och vecka 42 2023 (dvs mellan 10 februari 2020 och 23 oktober 2023). Forskargruppen började under vecka 20 2023 att använda en ny metod för att studera SARS-CoV-2. Data som produceras med denna nya metod fortsätter att uppdateras ungefär en gång i veckan och är tillgängliga på webbsidan ['Mängd SARS-COV-2 i avloppsvatten (GU)'](/sv/dashboards/covid_quantification/covid_quant_gu/). ## Insamlingsplatser för avloppsvatten diff --git a/content/svenska/dashboards/wastewater/covid_quantification/historic_orebro_umea.md b/content/svenska/dashboards/covid_quantification/historic_orebro_umea.md similarity index 95% rename from content/svenska/dashboards/wastewater/covid_quantification/historic_orebro_umea.md rename to content/svenska/dashboards/covid_quantification/historic_orebro_umea.md index f4e789871..980332f66 100644 --- a/content/svenska/dashboards/wastewater/covid_quantification/historic_orebro_umea.md +++ b/content/svenska/dashboards/covid_quantification/historic_orebro_umea.md @@ -4,9 +4,10 @@ plotly: true aliases: - /sv/data_types/environment/wastewater/historic_orebro_umea/ - /sv/dashboards/wastewater/historic_orebro_umea/ + - /sv/dashboards/wastewater/covid_quantification/historic_orebro_umea/ --- -Denna sida visar data för mängd SARS-CoV-2 i avloppsvatten från Umeå och Örebro mellan oktober 2020 och juni 2021. Från juni 2021 ändrades metoden. Se [den här sidan](/dashboards/wastewater/covid_quantification/covid_quant_slu/) för de senaste uppgifterna. +Denna sida visar data för mängd SARS-CoV-2 i avloppsvatten från Umeå och Örebro mellan oktober 2020 och juni 2021. Från juni 2021 ändrades metoden. Se [den här sidan](/dashboards/covid_quantification/) för de senaste uppgifterna. Data som visas här samlades in inom ett forskningsprojekt av prof. Maja Malmberg (SLU, Sveriges Lantbruksuniversitet) i samarbete med [SciLifeLab COVID-19 National Research Program](https://www.scilifelab.se/covid-19) och Mette Myrmel vid Norwegian University of Life Sciences. Mängden SARS-CoV-2-virus i avloppsvattnet mättes i avloppsreningsanläggningen i Örebro och Umeå. Se [den här kartan för det exakta avrinningsområdet för insamlingskanalerna i Örebro](/wastewater/map_orebro.pdf); se [den här kartan för det exakta avrinningsområdet för insamlingskanalerna i Umeå](/wastewater/map_umeaa.jpg). diff --git a/content/svenska/dashboards/wastewater/covid_quantification/historic_stockholm.md b/content/svenska/dashboards/covid_quantification/historic_stockholm.md similarity index 96% rename from content/svenska/dashboards/wastewater/covid_quantification/historic_stockholm.md rename to content/svenska/dashboards/covid_quantification/historic_stockholm.md index ff726c6d8..250402ad4 100644 --- a/content/svenska/dashboards/wastewater/covid_quantification/historic_stockholm.md +++ b/content/svenska/dashboards/covid_quantification/historic_stockholm.md @@ -4,9 +4,11 @@ plotly: true aliases: - /sv/data_types/environment/wastewater/historic_stockholm/ - /sv/dashboards/wastewater/historic_stockholm/ + - /sv/dashboards/wastewater/covid_quantification/historic_stockholm/ + --- -Den här sidan visar data om mängden SARS-CoV-2 i Stockholm mellan april 2020 och augusti 2021 beräknat som genkopienummer/vecka (från avloppsvatten) standardiserat med bovint coronavirus+ PMMoV. Från september 2021 ändrades metoden. Se [den här sidan för de senaste uppgifterna](/dashboards/wastewater/covid_quantification/covid_quant_kth/). +Den här sidan visar data om mängden SARS-CoV-2 i Stockholm mellan april 2020 och augusti 2021 beräknat som genkopienummer/vecka (från avloppsvatten) standardiserat med bovint coronavirus+ PMMoV. Från september 2021 ändrades metoden. Se [den här sidan för de senaste uppgifterna](/dashboards/covid_quantification/covid_quant_kth/). Data som visas här samlades in inom ett forskningsprojekt lett av prof. Zeynep Cetecioglu Gurol och kollegor (KTH) är ett samarbete mellan [SciLifeLab COVID-19 National Research Program](https://www.scilifelab.se/covid-19) och avdelningarna [SEED](https://www.kth.se/en/seed) och [Chemical Engineering](https://www.kth.se/ket/chemical-engineering-1.784196) vid KTH, i nära samarbete med Stockholm Vatten och Avfall och Käppala Association. Provtagningen av avloppsvatten började i mitten av april 2020 från Bromma, Henriksdal och Käppala reningsverk. Dessa reningsverk får avloppsvatten från en befolkning på cirka 360 000; 860 000 respektive 500 000. Se [den här kartan för det exakta avrinningsområdet för insamlingskanalerna i Käppala](/wastewater/map_Kappala.pdf) och [den här kartan för det exakta avrinningsområdet för insamlingskanalerna i Bromma och Henriksdal](/wastewater/map_Bromma_Henriksdal.pdf). diff --git a/content/svenska/dashboards/wastewater/enteric_quantification/_index.md b/content/svenska/dashboards/enteric_quantification/_index.md similarity index 94% rename from content/svenska/dashboards/wastewater/enteric_quantification/_index.md rename to content/svenska/dashboards/enteric_quantification/_index.md index 038ff75c6..ba8222a3f 100644 --- a/content/svenska/dashboards/wastewater/enteric_quantification/_index.md +++ b/content/svenska/dashboards/enteric_quantification/_index.md @@ -1,11 +1,16 @@ --- title: Mängd enteriska virus i avloppsvatten (GU) +banner: /dashboard_thumbs/wastewater_enteric_virus.png plotly: true -type: wastewater +description: Enteriska virusnivåer i Göteborgs avloppsvatten, inklusive norovirus och adenovirus. Data från Norder-gruppens veckoanalys vid Ryaverkets reningsverk hjälper till att förutsäga utbrott och inkluderar prover från omgivande kommuner. menu: - wastewater: - name: Enteriska virus kvantifiering (GU) - weight: 30 + dashboard_menu: + identifier: wastewater_enteric_quantification + name: "Avloppsvatten: Enteriska virus kvantifiering (GU)" +dashboards_topics: [Wastewater Surveillance, Enteric viruses, Epidemiology] +aliases: + - /sv/dashboards/wastewater/enteric_quantification/ +data_status: "historic" --- @@ -20,11 +25,11 @@ Enteriska virus tillhör en större grupp virus som inkluderar calicivirus (noro Avloppsvatten innehåller många olika typer av virus som infekterar allt levande även människor eftersom infekterade individer utsöndrar viruspartiklar i avföring och urin. Nordergruppen vid Göteborgs universitet har genom sin forsknings påvisat att nivåer av vissa enteriska virus i avloppsvatten kan förutsäga kommande virusutbrott, som att nivåerna av norovirus i avloppsvatten ökar 1-2 veckor innan större utbrott sker på äldreboenden och sjukhusavdelningar ([Hellmér _et al._, 2014](https://pubmed.ncbi.nlm.nih.gov/25172863/)). -Under 2017, och sedan 2020 och alltjämt utför Nordergruppen vid Göteborgs universitet (GU) veckovis samtidig övervakning av ett antal enteriska virus i avloppsvattnet. Gruppen kvantifierar nivåerna av virusarvsmassa av enterovirus (inklusive poliovirus), adenovirus, GG2 (ett norovirus som orsakar vinterkräksjuka), astrovirus, sapovirus och som kontroll ett växtvirus, Pepper Mild Mottle virus (PMMoV). Denna sida fokuserar på de data som producerats med hjälp av en metod för kvantifiering från vecka 20 (15t maj) 2023. Den nya metoden har använts parallellt med den tidigare använda metoden tom vecka 43. Data från den tidigare använda metoden från vecka 2 tom vecka 43 2023 (dvs. 9 januari till 23 oktober 2023) finns tillgängliga på den webbsida som visar [historiska nivåer av enteriska virusdata från Göteborg](/sv/dashboards/wastewater/enteric_quantification/historic_enteric_gu/). +Under 2017, och sedan 2020 och alltjämt utför Nordergruppen vid Göteborgs universitet (GU) veckovis samtidig övervakning av ett antal enteriska virus i avloppsvattnet. Gruppen kvantifierar nivåerna av virusarvsmassa av enterovirus (inklusive poliovirus), adenovirus, GG2 (ett norovirus som orsakar vinterkräksjuka), astrovirus, sapovirus och som kontroll ett växtvirus, Pepper Mild Mottle virus (PMMoV). Denna sida fokuserar på de data som producerats med hjälp av en metod för kvantifiering från vecka 20 (15t maj) 2023. Den nya metoden har använts parallellt med den tidigare använda metoden tom vecka 43. Data från den tidigare använda metoden från vecka 2 tom vecka 43 2023 (dvs. 9 januari till 23 oktober 2023) finns tillgängliga på den webbsida som visar [historiska nivåer av enteriska virusdata från Göteborg](/sv/dashboards/enteric_quantification/historic_enteric_gu/). Se nedan för mer om [metoderna som används vid övervakning](#metoder), [kort sammanfattande information om virusen](#grundläggande-virusinformation), och [information om insamlad data](#dataset). -Studierna av enteriska virus i avloppsvatten har inom Nordergruppen skett parallellt med arbetet att studera SARS-CoV-2 i avloppsvatten, dessa data delas också [på portalen](/sv/dashboards/wastewater/covid_quantification/covid_quant_gu/). +Studierna av enteriska virus i avloppsvatten har inom Nordergruppen skett parallellt med arbetet att studera SARS-CoV-2 i avloppsvatten, dessa data delas också [på portalen](/sv/dashboards/covid_quantification/covid_quant_gu/). Data och visualisering på den här **sidan uppdateras inte längre**. @@ -86,7 +91,7 @@ Nukleinsyror extraheras från ett koncentrerat prov på 1 ml med hjälp av QIAam ## Arkiverade data -[Historisk enteriska virus data från Gothenburg mellan veckorna 2 och 43 2023](/sv/dashboards/wastewater/enteric_quantification/historic_enteric_gu/). +[Historisk enteriska virus data från Gothenburg mellan veckorna 2 och 43 2023](/sv/dashboards/enteric_quantification/historic_enteric_gu/). ### Grundläggande virusinformation diff --git a/content/svenska/dashboards/wastewater/enteric_quantification/historic_enteric_gu.md b/content/svenska/dashboards/enteric_quantification/historic_enteric_gu.md similarity index 99% rename from content/svenska/dashboards/wastewater/enteric_quantification/historic_enteric_gu.md rename to content/svenska/dashboards/enteric_quantification/historic_enteric_gu.md index 01240e0a5..6130a1176 100644 --- a/content/svenska/dashboards/wastewater/enteric_quantification/historic_enteric_gu.md +++ b/content/svenska/dashboards/enteric_quantification/historic_enteric_gu.md @@ -9,7 +9,7 @@ aliases: De data som presenteras här uppdateras inte längre utan bevaras för historisk referens. -Denna webbsida visar historiska avloppsvattendata för enteriska virus. Data samlades in i Göteborg, Sverige av prof. Heléne Norders forskargrupp vid Göteborgs universitet, (GU). Forskningen har utfört av personal verksam vid Göteborgs universitet och på Sahlgrenska Universitetssjukhuset (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti och Kristina Nyström) och Lucica Enache från Ryaverket, Gryaab AB, Göteburg. Data som visas på denna webbsida samlades in mellan vecka 2 och vecka 43 2023 (dvs. mellan 9 januari och 23 oktober 2023). Forskargruppen började använda en ny metod från och med vecka 20 2023 (15 maj). Data som bygger på den nya metoden uppdateras kontinuerligt ungefär **en gång per vecka** och visas på webbsidan ['Mängd enteriska virus i avloppsvatten (GU)'](../). +Denna webbsida visar historiska avloppsvattendata för enteriska virus. Data samlades in i Göteborg, Sverige av prof. Heléne Norders forskargrupp vid Göteborgs universitet, (GU). Forskningen har utfört av personal verksam vid Göteborgs universitet och på Sahlgrenska Universitetssjukhuset (Hao Wang, Marianela Patzi Churqui, Timur Tunovic, Fredy Saguti och Kristina Nyström) och Lucica Enache från Ryaverket, Gryaab AB, Göteburg. Data som visas på denna webbsida samlades in mellan vecka 2 och vecka 43 2023 (dvs. mellan 9 januari och 23 oktober 2023). Forskargruppen började använda en ny metod från och med vecka 20 2023 (15 maj). Data som bygger på den nya metoden uppdateras kontinuerligt ungefär **en gång per vecka** och visas på webbsidan ['Mängd enteriska virus i avloppsvatten (GU)'](/dashboards/enteric_quantification/). ## Introduction @@ -19,7 +19,7 @@ Avloppsvatten innehåller många olika typer av virus som infekterar allt levand Från starten av COVID-19 pandemin och alltjämt utför Nordergruppen vid Göteborgs universitet (GU) veckovis samtidig övervakning av SARS-CoV-2 och ett antal enteriska virus i avloppsvattnet. Gruppen kvantifierar nivåerna av virus arvsmassa av enterovirus (inklusive poliovirus), adenovirus, GG2 (ett norovirus), astrovirus, sapovirus och som kontroll ett växtvirus, Pepper Mild Mottle virus (PMMoV). Om andra virus misstänkts orsaka utbrott kommer även dessa att övervakas. Se nedan för mer om [metoderna som används vid övervakning](#metoder), [kort sammanfattande information om virusen](#grundläggande-virusinformation), och [information om insamlad data](#dataset). -Den enteriska virusövervakningen av Norder-gruppen sker parallellet med gruppens pågående övervakning av SARS-CoV-2 nivåer i avloppsvatten. SARS-CoV-2 data delas [på denna sida](/dashboards/wastewater/covid_quantification/covid_quant_gu/). +Den enteriska virusövervakningen av Norder-gruppen sker parallellet med gruppens pågående övervakning av SARS-CoV-2 nivåer i avloppsvatten. SARS-CoV-2 data delas [på denna sida](/dashboards/covid_quantification/covid_quant_gu/). ## Insamlingsplatser för avloppsvattenprov diff --git a/content/svenska/dashboards/influenza_quantification/_index.md b/content/svenska/dashboards/influenza_quantification/_index.md new file mode 100644 index 000000000..7ac90b8c2 --- /dev/null +++ b/content/svenska/dashboards/influenza_quantification/_index.md @@ -0,0 +1,94 @@ +--- +title: Mängd influensa A- och influensa B-virus i avloppsvatten +plotly: true +banner: /dashboard_thumbs/wastewater_influenza.png +description: Utforska nivåerna av Influenza A och B-virus i avloppsvatten över hela Sverige. Veckodata från SLU-SEEC spårar influensatrender, täcker 43% av den svenska befolkningen, och hjälper till att förutsäga potentiella utbrott. +menu: + dashboard_menu: + identifier: wastewater_influenza_quantification + name: "Avloppsvatten: Kvantifiering av influensa (SLU)" +aliases: + - /sv/dashboards/wastewater/influenza_quantification/ +dashboards_topics: [Wastewater Surveillance, Influenza, Epidemiology] +data_status: "updating" +--- + +## Introduktion + +Influensavirus är enkelsträngade, segmenterade RNA-virus inom familjen Orthomyxoviridae. Influensa A- och influensa B-virus orsakar säsongsbetonade epidemier av influensa, en mycket smittsam luftvägssjukdom som kännetecknas av symptom som feber, hosta, halsont, värk i kroppen och trötthet, men diarré och kräkningar kan också förekomma. Influensa A-virus är utbrett bland sjöfåglar men infekterar också andra fågelarter och olika däggdjur, inklusive människor och grisar, medan influensa B-virus främst infekterar människor. Influensavirus muterar snabbt, vilket leder till olika stammar och säsongsbetonade utbrott. Både influensa A- och B-virus kan orsaka säsongsbetonade utbrott, men endast influensa A är känt för att orsaka pandemier på grund av att viruset kan smitta olika arter och den potentiella möjligheten till genetisk rekombination mellan olika djurarter. För mer information om symtom, risker och vaccination mot influensavirus, besök [Folkhälsomyndighetens motsvarande sida](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/influensa-/). + +Data som presenteras på denna sida genereras i Sveriges lantbruksuniversitets (SLU) laboratorier vid Svenskt Miljöepidemiologiskt Centrum (SEEC). Data och visualiseringar på den här sidan uppdateras vanligtvis veckovis, oftast på måndagar. För en omfattande förståelse, vänligen hänvisa till [Metoder](#metoder) avsnittet. För en allmän översikt om avloppsvattenövervakning, vänligen besök [Avloppsbaserad epidemiologi i Sverige](/dashboards/wastewater_background/) + +
+Viktig notering:
+Notera att de poäng som tillhandahålls i datasetet och som visas i grafen nedan är preliminära, så korrigeringar och ändringar kan förekomma. Data och information om gruppen på den här dashboarden uppdateras kontinuerligt.
Notera också att även om samma metoder används för alla städer som visas på den här fliken, kan skillnader i befolkningen och hur avloppsvatten samlas in i olika städer påverka jämförelser dem emellan. +
+ +## Visualiseringar + +
Last updated:
+ +### Influensa A + +
+ Att rotera mobiltelefonen kan förbättra grafens layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infA.json" height="800px" >}}
+
+ +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_a.py). + +### Influensa B + +
+ Att rotera mobiltelefonen kan förbättra grafens layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infB.json" height="800px" >}}
+
+ +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_b.py). + +## Kommentarer från forskargruppen + +
Date:
Commentary:
+ +{{< ww_dynamic_content >}} + +## Rapporter från forskargruppen + +Forskargruppen tillhandahåller en rapport som sammanfattar information från deras avloppsvattenmätningar. Den senaste rapporten finns tillgänglig som pdf [här](https://blobserver.dc.scilifelab.se/blob/Latest_weekly_report_SEEC-SLU.pdf) (endast tillgänglig på svenska). + +## Dataset + +**Kontakt:** and + +**Ladda ner data:** [Genkopieantal för luftvägsvirus normaliserat mot PMMoV-genkopieantal.CSV fil](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data finns tillgänglig för influensa A-virus från vecka 42 2022 och för influensa B-virus från vecka 12 2023, uppdateras veckovis. + +**Citera data:** + +Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. . + +## Metoder + +Avloppsvatten samlas in från flera olika reningsverk runt om i landet. För mer information om reningsverken, besök sidan om [bakgrunden till avloppsvattenövervakning](/dashboards/wastewater_background/). För de flesta städer som representeras på den här sidan används flödeskompenserade provtagare vid avloppsreningsverken (WWTP) för att samla in råa, obehandlade avloppsprover representativa för en enskild dag. Uppsala är undantaget, där prover samlas in dagligen och sedan kombineras flödesproportionellt till ett sammansatt veckoprov som används för analyserna. + +Det virala genomiska materialet från de insamlade proverna extraheras med en metod som använder Maxwell RSC Enviro TNA-kitet (Promega). + +Absolut kvantifiering av antalet kopior av influensa A- och B-virusgenom görs med metoden One-Step RT-qPCR och Flu SC2 Multiplex-testet från Centers for Disease Control and Prevention (CDC). För att korrigera för variation i population och avloppsvattenflöde kvantifieras förekomsten av viruset pepper mild mottle virus (PMMoV), ett växtvirus från peppar som människor får i sig via maten. PMMoV kvantifieras med hjälp av en modifierad version av testet i [Zhang et al. (2006)](https://doi.org/10.1371/journal.pbio.0040003). PMMoV är det vanligaste RNA-viruset i avföring från människa och används för att uppskatta mängden avföring från människa i avloppsvattenprover [Symonds et al., (2019)](https://doi.org/10.1371/journal.ppat.1007639). + +Data i graferna och datafilen presenteras i tre olika format: +- **PMMoV-normaliserat Influensa-innehåll** visar förhållandet mellan det kopieantal som uppmätts med influensa-testet och PMMoV-testet, multiplicerat med 1000. Eftersom influensa-testet ger en proxy för influensa-virusmängd i avloppsvattnet och PMMoV är en proxy för avföringsinnehållet (som är relaterat till den bidragande befolkningen) kan förhållandet mellan de två betraktas som en proxy för förekomsten av influensa-infektioner i befolkningen i avloppsvattnets upptagningsområde. +- **Koncentration av Influensa-genomkopior** visar koncentrationen av influensa-kopienummer som uppmäts i avloppsvattnet. Dessa data påverkas av hur de olika avloppsvattensystemen är uppbyggda och lämpar sig därför inte för jämförelse mellan platser. Virushalten i avloppsvattnet påverkas också av väderhändelser som påverkar avloppsflödet (t.ex. kraftigt regn eller snösmältning). +- **Influensa-genomkopior/dag/invånare** representerar den uppskattade dagliga virusmängden i avloppsvattnet normaliserad för antalet invånare anslutna till systemet. Dessa data går att jämföra mellan olika platser. Vissa fördröjningar i presentationen av dessa data kan förekomma, jämfört med de andra analyserna. + +**Citera metoden:** + +Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. _Environments_, _9_, 39. . + +## Arkiverade data från SLU + +- [Historiska influensadata i avloppsvatten från SEEC-SLU](/dashboards/influenza_quantification/historic_influenza_SLU) \ No newline at end of file diff --git a/content/svenska/dashboards/wastewater/influenza_quantification/_index.md b/content/svenska/dashboards/influenza_quantification/historic_influenza_SLU.md similarity index 65% rename from content/svenska/dashboards/wastewater/influenza_quantification/_index.md rename to content/svenska/dashboards/influenza_quantification/historic_influenza_SLU.md index 3b2a89d96..194bfa736 100644 --- a/content/svenska/dashboards/wastewater/influenza_quantification/_index.md +++ b/content/svenska/dashboards/influenza_quantification/historic_influenza_SLU.md @@ -1,20 +1,13 @@ --- -title: Mängd influensa A- och influensa B-virus i avloppsvatten +title: Historiska data om influensavirus i avloppsvatten (SLU) plotly: true -type: wastewater -menu: - wastewater: - name: Influensa kvantifiering (SLU) - weight: 40 --- ## Introduktion -Influensavirus är enkelsträngade, segmenterade RNA-virus inom familjen Orthomyxoviridae. Influensa A- och influensa B-virus orsakar säsongsbetonade epidemier av influensa, en mycket smittsam luftvägssjukdom som kännetecknas av symptom som feber, hosta, halsont, värk i kroppen och trötthet, men diarré och kräkningar kan också förekomma. Influensa A-virus är utbrett bland sjöfåglar men infekterar också andra fågelarter och olika däggdjur, inklusive människor och grisar, medan influensa B-virus främst infekterar människor. Influensavirus muterar snabbt, vilket leder till olika stammar och säsongsbetonade utbrott. Både influensa A- och B-virus kan orsaka säsongsbetonade utbrott, men endast influensa A är känt för att orsaka pandemier på grund av att viruset kan smitta olika arter och den potentiella möjligheten till genetisk rekombination mellan olika djurarter. Globalt uppskattas säsongsinfluensan orsaka 290 000–645 000 dödsfall per år. +Influensavirus är enkelsträngade, segmenterade RNA-virus inom familjen Orthomyxoviridae. Influensa A- och influensa B-virus orsakar säsongsbetonade epidemier av influensa, en mycket smittsam luftvägssjukdom som kännetecknas av symptom som feber, hosta, halsont, värk i kroppen och trötthet, men diarré och Data som presenteras på denna sida genererades i SLU:s (Sveriges lantbruksuniversitet) laboratorier av SEEC (Swedish Environmental Epidemiology Center). Projektet var en del av SciLifeLabs Pandemic Laboratory Preparedness (PLP) Program, ledd av Anna J. Székely (Institutionen för vatten och miljö, SLU). Avloppsvattenanalyser övervakades av Anna J. Székely, Javier Vargas och Maja Malmberg (Virologienheten vid Institutionen för biomedicinsk vetenskap och veterinär folkhälsovetenskap, SLU). Denna sida handlar om den historiska kvantifieringen av nivåerna av influensa A och B-virus i flera städer över hela Sverige. Projektet hade den bredaste geografiska täckningen över Sverige och genererade data för 43% av den svenska befolkningen. -Data som presenteras på denna sida genereras i Sveriges lantbruksuniversitets (SLU) laboratorier vid Svenskt Miljöepidemiologiskt Centrum (SEEC). Projektet ingår i SciLifeLab’s Pandemic Laboratory Preparedness (PLP) Program och leds av docent Anna J. Székely (Institutionen för vatten och miljö, SLU). Avloppsanalyserna övervakas av Anna J. Székely, Javier Vargas och Maja Malmberg (Institutionen för biomedicin och veterinär folkhälsovetenskap, sektionen för virologi, SLU). Denna sida visar kvantifiering av nivåerna av influensa A- och B-virus i flera orter över hela Sverige. Projektet har för närvarande den bredaste geografiska täckningen i Sverige och genererar data som täcker 43% av den svenska befolkningen. - -Data och visualiseringar på den här sidan uppdateras vanligtvis veckovis, oftast på fredagar. Notera att de poäng som tillhandahålls i datasetet och som visas i grafen nedan är preliminära, så korrigeringar och ändringar kan förekomma. Data och information om gruppen på den här dashboarden uppdateras kontinuerligt. +Observera att data och visualiseringar på denna sida inte längre uppdateras. Poängen i datasetet och som avbildas i diagrammen är slutgiltiga, även om mindre korrigeringar kan ha tillämpats i efterhand. Denna instrumentpanel fungerar som en post över projektets resultat under den aktiva övervakningsperioden. ## Insamlingsplatser för avloppsvatten @@ -26,7 +19,7 @@ SLU-SEEC samlar in och analyserar prover för kvantifiering av nivåerna av infl ## Visualiseringar -
Last updated:
+
Last updated: 2024-09-30
**Notera** att även om samma metoder används för alla städer som visas på den här fliken, kan skillnader i befolkningen och hur avloppsvatten samlas in i olika städer påverka jämförelser dem emellan. @@ -37,10 +30,10 @@ SLU-SEEC samlar in och analyserar prover för kvantifiering av nivåerna av infl
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infA.json" height="600px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/historic_wastewater_slu_infA.json" height="600px" >}}
-**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_a.py). +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/archive/historic_combined_slu_influenza_a.py). ### Influensa B @@ -49,16 +42,14 @@ SLU-SEEC samlar in och analyserar prover för kvantifiering av nivåerna av infl
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_infB.json" height="600px" >}}
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/historic_wastewater_slu_infB.json" height="600px" >}}
-**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_influenza_b.py). +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/archive/historic_combined_slu_influenza_b.py). ## Kommentarer från forskargruppen -
Date:
Commentary:
- -{{< ww_dynamic_content >}} +
Date: 2023-08-30
Commentary: The data presented for influenza A and B is preliminary. Minor changes to the data are expected in the near future due to ongoing adjustments to the data analyses methods.
## Rapporter från forskargruppen @@ -68,7 +59,7 @@ Forskargruppen tillhandahåller en rapport som sammanfattar information från de **Kontakt:** and -**Ladda ner data:** [Genkopieantal för luftvägsvirus normaliserat mot PMMoV-genkopieantal.CSV fil](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data finns tillgänglig för influensa A-virus från vecka 42 2022 och för influensa B-virus från vecka 12 2023, uppdateras veckovis. +**Ladda ner data:** [Genkopieantal för luftvägsvirus normaliserat mot PMMoV-genkopieantal.CSV fil](https://blobserver.dc.scilifelab.se/blob/historic_SLU_wastewater_data.csv). Data finns tillgänglig för influensa A-virus från vecka 42 2022 och för influensa B-virus från vecka 12 2023, uppdateras veckovis. **Citera data:** diff --git a/content/svenska/dashboards/rsv_quantification.md b/content/svenska/dashboards/rsv_quantification.md new file mode 100644 index 000000000..c377e4632 --- /dev/null +++ b/content/svenska/dashboards/rsv_quantification.md @@ -0,0 +1,75 @@ +--- +title: "Mängd Respiratory Syncytial Virus (RSV eller RS-virus) i avloppsvatten (SEEC-SLU)" +description: "Utforska nivåerna av Respiratory Syncytial Virus (RSV) i avloppsvatten över hela Sverige. Veckodata från SLU-SEEC spårar RSV-trender, täcker en betydande del av befolkningen, och hjälper till att förutsäga potentiella utbrott." +plotly: true +banner: /dashboard_thumbs/wastewater_rsv.png +menu: + dashboard_menu: + identifier: rsv_quant + name: "Avloppsvatten: RSV kvantifiering (SLU)" +dashboards_topics: [Wastewater Surveillance, RSV, Epidemiology] +data_status: "updating" +--- +## Introduktion + +Respiratory Syncytial Virus (RSV) är ett enkelsträngat RNA-virus som orsakar infektioner i lungor och luftvägar. De flesta människor får bara milda förkylningsliknande symtom och återhämtar sig snabbt, men spädbarn och äldre vuxna kan utveckla allvarligare symptom och behöva sjukhusvård. RSV är en av de främsta orsakerna till sjukhusvård vid luftvägssjukdomar hos spädbarn yngre än 1 år. För mer information om symtom, risker och vaccination mot RS-virus, besök [Folkhälsomyndighetens motsvarande sida](https://www.folkhalsomyndigheten.se/smittskydd-beredskap/smittsamma-sjukdomar/rs-virusinfektion/). + +Data som presenteras på denna sida genereras i Sveriges lantbruksuniversitets (SLU) laboratorier vid Svenskt Miljöepidemiologiskt Centrum (SEEC). Data och visualiseringar på den här sidan uppdateras vanligtvis veckovis, oftast på måndagar. För en omfattande förståelse, vänligen hänvisa till [Metoder](#metoder) avsnittet. För en allmän översikt om avloppsvattenövervakning, vänligen besök [Avloppsbaserad epidemiologi i Sverige](/dashboards/wastewater_background/) + +
+Viktig notering:
+Notera att de poäng som tillhandahålls i datasetet och som visas i grafen nedan är preliminära, så korrigeringar och ändringar kan förekomma. Data och information om gruppen på den här dashboarden uppdateras kontinuerligt.
Notera också att även om samma metoder används för alla städer som visas på den här fliken, kan skillnader i befolkningen och hur avloppsvatten samlas in i olika städer påverka jämförelser dem emellan. +
+ + +## Visualiseringar + +
Last updated:
+ +
+ Att rotera mobiltelefonen kan förbättra grafens layout +
+ +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_slu_rsv.json" height="800px" >}}
+
+ +**Källkod som används för att skapa grafen:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/combined_slu_rsv.py). + +## Kommentarer från forskargruppen + +
Date:
Commentary:
+ +{{< ww_dynamic_content >}} + +## Rapporter från forskargruppen + +Forskargruppen tillhandahåller en rapport som sammanfattar information från deras avloppsvattenmätningar. Den senaste rapporten finns tillgänglig som pdf här (endast tillgänglig på svenska). + +## Dataset + +**kontakt:** och + +**Ladda ner data:** RSV-genkopieantal normaliserat mot PMMoV-genkopieantal [CSV-fil](https://blobserver.dc.scilifelab.se/blob/SLU_wastewater_data.csv). Data för RSV finns tillgängligt från vecka 32 2023 och uppdateras varje vecka. + +**Citera datasetet:** + +Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. . + +## Metoder + +Avloppsvatten samlas in från flera olika reningsverk runt om i landet. För mer information om reningsverken, besök sidan om [bakgrunden till avloppsvattenövervakning](/dashboards/wastewater_background/). För de flesta städer som representeras på den här sidan används flödeskompenserade provtagare vid avloppsreningsverken (WWTP) för att samla in råa, obehandlade avloppsprover representativa för en enskild dag. Uppsala är undantaget, där prover samlas in dagligen och sedan kombineras flödesproportionellt till ett sammansatt veckoprov som används för analyserna. + +Det virala genomiska materialet från de insamlade proverna extraheras med en metod som använder Maxwell RSC Enviro TNA-kitet (Promega). För en detaljerad beskrivning av metoden, läs följande protokoll. + +Absolut kvantifiering av antalet kopior av RSV-genom görs med metoden One-Step RT-qPCR med testet som används i Hughes et al. (2022). För att korrigera för variation i population och avloppsvattenflöde kvantifieras förekomsten av viruset pepper mild mottle virus (PMMoV), ett växtvirus från peppar som människor får i sig via maten. PMMoV kvantifieras med hjälp av en modifierad version av testet i Zhang et al. (2006). PMMoV är det vanligaste RNA-viruset i avföring från människa och används för att uppskatta mängden avföring från människa i avloppsvattenprover (Symonds et al. 2019). + +Data i graferna och datafilen presenteras i tre olika format: + +- **PMMoV-normaliserat RSV-innehåll** visar förhållandet mellan det kopieantal som uppmätts med RSV-testet och PMMoV-testet, multiplicerat med 1000. Eftersom RSV-testet ger en proxy för RSV-virusmängd i avloppsvattnet och PMMoV är en proxy för avföringsinnehållet (som är relaterat till den bidragande befolkningen) kan förhållandet mellan de två betraktas som en proxy för förekomsten av RSV-infektioner i befolkningen i avloppsvattnets upptagningsområde. +- **Koncentration av RSV-genomkopior** visar koncentrationen av RSV-kopienummer som uppmäts i avloppsvattnet. Dessa data påverkas av hur de olika avloppsvattensystemen är uppbyggda och lämpar sig därför inte för jämförelse mellan platser. Virushalten i avloppsvattnet påverkas också av väderhändelser som påverkar avloppsflödet (t.ex. kraftigt regn eller snösmältning). +- **RSV-genomkopior/dag/invånare** representerar den uppskattade dagliga virusmängden i avloppsvattnet normaliserad för antalet invånare anslutna till systemet. Dessa data går att jämföra mellan olika platser. Vissa fördröjningar i presentationen av dessa data kan förekomma, jämfört med de andra analyserna. + +**Citera metoden:** + +Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. _Environments_, _9_, 39. . diff --git a/content/svenska/dashboards/wastewater/_index.md b/content/svenska/dashboards/wastewater/_index.md deleted file mode 100644 index 66649edca..000000000 --- a/content/svenska/dashboards/wastewater/_index.md +++ /dev/null @@ -1,75 +0,0 @@ ---- -title: Avloppsvattensepidemiologiska analyser i Sverige -description: Monitorering av olika patogener i avloppsvatten kan vara ett effektivt sätt att förutse framtida virusutbrott. Denna dashboard innehåller data som ursprungligen samlats in av ett flertal olika forskargrupper runt om i Sverige. -banner: /dashboard_thumbs/wastewater.jpg -inline_toc: true -type: wastewater -menu: - dashboard_menu: - identifier: wastewater - name: Avloppsvattensepidemiologiska analyser - other_data: - name: Environment - identifier: environment - weight: 50 - wastewater: - name: Introduktion - weight: 10 -plotly: true -aliases: - - /sv/data_types/environment/wastewater/ - - /sv/data_types/environment/ - - /sv/dashboards/wastewater/introduction/ -dashboards_topics: [COVID-19, Infectious diseases, Enteric viruses, Influenza] -data_status: "updating" # or "historic" ---- - - - -## Introduktion - -Avloppsvattenövervakning kan fungera som en effektiv metod för att kartlägga förekomsten av patogener, inklusive SARS-CoV-2, i befolkningen. Metoden kan också fungera som ett 'tidigt varningssystem' som förutsäger kommande utbrott. Se nedan för [en allmän introduktion till avloppsvattenbaserad epidemiologi](#bakgrund-avloppsvattenbaserad-epidemiologi). - -I den här dashboarden presenteras data från avloppsvattenbaserad epidemiologi från olika svenska städer. Sammanlagt har städerna som ingår här en befolkning på över 3,5 miljoner invånare (eller 34% av Sveriges befolkning). Data och resultat som presenteras här kommer från analyser som utförts av tre laboratorier. Två av laboratorierna ingår i [Svenskt Miljöepidemiologiskt Centrum (SEEC)](https://www.scilifelab.se/pandemic-response/pandemic-laboratory-preparedness/swedish-environmental-epidemiology-center-seec/), etablerat av forskare vid fyra svenska universitet (Sveriges lantbruksuniversitet, Kungliga Tekniska högskolan, Karolinska institutet och Uppsala universitet) som ett projekt för att utveckla resurser för pandemiberedskap inom [SciLifeLab's Pandemic Preparedness Program](https://www.scilifelab.se/pandemic-response). De två noderna i SEEC som är involverade i avloppsvattenanalyser är **SEEC-KTH** baserat vid Kungliga Tekniska högskolan (KTH), under ledning av Zeynep Cetecioglu Gurol och **SEEC-SLU** baserat vid Institutionen för vatten och miljö, Sveriges lantbruksuniversitet (SLU), under ledning av docent Anna J. Székely och docent Maja Malmberg. Det tredje laboratoriet som presenterar sina analyser på denna dashboard är baserat vid **Göteborgs universitet (GU)** och leds av professor Heléne Norder. Se ['Navigering på dashboarden'](#navigering-på-dashboarden) nedan för mer information kring var arbetet från de tre respektive laboratorierna återfinns på denna dashboard. - -Notera att det förekommer mindre skillnader mellan detektionsmetoderna som grupperna använder. Därför är de absoluta värden som mäts av olika laboratorier inte jämförbara med varandra, och små skillnader i trender kan förekomma. Detta innebär att du bör vara försiktig när du gör jämförelser. Titta på avsnitten "Metoder" under gruppernas flikar för att få information om metoderna som används av de olika laboratorierna. - -## Navigering på dashboarden - -Data som visas på den här dashboarden är uppdelad efter de olika patogener som presenteras. Se listan nedan för en överblick av vilka resurser som finns tillgängliga: - -- [**Kvantifiering av SARS-CoV-2**](/sv/dashboards/wastewater/covid_quantification): Data, visualiseringar och information kopplad till kvantifiering av SARS-CoV-2 i avloppsvatten från olika delar av Sverige. Alla tre forskargrupperna delar data relaterat till SARS-CoV-2 i avloppsvatten, deras mätningar täcker olika områden i Sverige. Det går att navigera direkt till den grupp(er) som tillhandahåller data för ett geografiskt område som är av intresse. - -- [**Kvantifiering av Enteriska virus**](/sv/dashboards/wastewater/enteric_quantification/): Data, visualiseringar och information kopplad till kvantifiering av Enteriska virus i avloppsvatten från Göteborg. Dessa data har samlats in, analyserats och delats av Nordergruppen vid Göteborgs universitet (GU). - -- [**Kvantifiering av Influensa virus**](/sv/dashboards/wastewater/influenza_quantification/): Data, visualiseringar och information kopplad till kvantifiering av Influensa i avloppsvatten från olika delar av Sverige. Dessa data har samlats in, analyserats och delats av SEEC-noden vid Sveriges lantbruksuniversitet (SLU). - -## Tillgänglighet av källkod - -All källkod som skapats för visualiseringarna under de olika flikarna på denna dashboard finns öppet tillgänglig på [GitHub](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/tree/main/wastewater). Skripten finns tillgängliga under respektive visualisering. - -## Insamlingsplatser för avloppsvatten - -Nedan finns en karta som visar de avloppsreningsverk (på engelska wastewater treatment plants, WWTP) från vilka avloppsprover samlas in och analyseras av de grupper som delar data på den här dashboarden. - -
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_map_test.json" height="600px" >}}
-
- -**Källkod som använts för att skapa kartan:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/interactive_wastewater_map.py). - -Tabellen nedan listar; städerna/orterna som monitoreras av de forskargrupper som delar data, vilka avloppsreningsverk (WWTP) som avloppsprover samlats in ifrån, antal personer i upptagningsområdet (Number of people), om övervakningen är pågående eller inte (Active?), vilket virus som övervakas på platsen (Viruses monitored) och forskargrupp(er) som har övervakat/övervakar platsen. En asterisk (\*) bredvid antal personer indikerar att värdet är ett BO-7-värde (en uppskattning av de personer som är anslutna till ett avloppsreningsverk), snarare än antalet personer som är fysiskt anslutna. Informationen i tabellen nedan är [tillgänglig för nedladdning som en excel-fil](https://blobserver.dc.scilifelab.se/blob/overall_ww_collection_sites.xlsx). - -
-
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_overallsites.json" height="875px" >}}
-
- -## Bakgrund: Avloppsvattenbaserad epidemiologi - -Många patogengenom, inklusive SARS-CoV-2, kan med hjälp av metoden polymeraskedjereaktion (PCR) detekteras i avföringsprov som har samlats in från infekterade individer (t.ex. COVID-19-patienter) [Wu _et al_. (2020)](). Övervakning av nivåerna av patogener (t.ex. SARS CoV-2) i avloppsvatten från samhällen kan därför ge en tidig indikation på sjukdomsprevalensen på befolkningsnivå, så kallad avloppsvattenbaserad epidemiologi ([Corpuz _et al._, 2020](https://doi.org/10.1016/j.scitotenv.2020.140910)). - -Avloppsvatten av består spillvatten, dagvatten och kylvatten. Dagvatten kommer från hushåll och fastigheter, exempelvis från kök, toaletter och duschar. Det kan också inkludera vatten från regn och från industriellt bruk. Prover tas regelbundet vid avloppsreningsanläggningar, vilket gör det möjligt att jämföra virusbelastningen över tid. Det har tidigare visats att mängden SARS-CoV-2-virus i avloppsvatten kan ge en indikation på ökad smittspridning bland befolkningen och även att mängden SARS-CoV-2 i avloppsvatten korrelerar med antal fall av COVID-19 och antal patienter som behöver sjukhusvård, se [Peccia _et al._ (2020)](https://doi.org/10.1038/s41587-020-0684-z). Nyligen visade också [Wang _et al._ (2022)](https://pubmed.ncbi.nlm.nih.gov/36035197/) att nivån av SARS-CoV-2 i avloppsvatten ökade 1-2 veckor innan det fanns en ökning av antalet COVID-19-patienter i behov av sjukhusvård. Under COVID-19-pandemin har övervakning av nivån av SARS-CoV-2 i avloppsvatten blivit en vanlig metod för att följa och förutsäga smittspridning. - -Analyser av avloppsvatten ska i första hand ses som ett övervakningssystem. Tillsammans med annan data, t.ex. infektionstestning, intensivvårdsinläggningar etc. kan analyser av avloppsvatten hjälpa till att förstå den regionala dynamiken i sjukdomsutbrott. - -{{< ww_dynamic_content >}} diff --git a/content/svenska/dashboards/wastewater/covid_quantification/_index.md b/content/svenska/dashboards/wastewater/covid_quantification/_index.md deleted file mode 100644 index 500f38885..000000000 --- a/content/svenska/dashboards/wastewater/covid_quantification/_index.md +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: SARS-CoV-2 kvantifiering -type: wastewater -menu: - wastewater: - name: SARS-CoV-2 kvantifiering - weight: 20 -plotly: true ---- - -## Kvantifiering av SARS-CoV-2 i Sverige - -
- -Alla tre forskargrupperna som delar data på denna dashboard gör egna mätningar av mängd SARS-CoV-2 i avloppsvatten. **Forskargrupperna mäter mängd SARS-CoV-2 i avloppsvatten i olika svenska regioner, i vissa regioner sker mätningar av flera forskargrupper**. Se nedan för en lista över områden och städer som varje forskargrupp mäter. Klicka på forskargruppens namn för att komma direkt till respektive grupps webbsida med information om deras respektive mätningar av SARS-CoV-2 i avloppsvatten. - -- [**Göteborgs universitet (GU):**](/sv/dashboards/wastewater/covid_quantification/covid_quant_gu/) Kvantifiering av mängd SARS-CoV-2 i avloppsvatten från Göteborg från Helene Norders forskargrupp vid GU. - -- [**SEEC-KTH noden:**](/sv/dashboards/wastewater/covid_quantification/covid_quant_kth/)Kvantifiering av mängd SARS-CoV-2 i avloppsvatten från Malmö, Stockholm och Göteborg från forskargruppen SEEC-KTH (uppdateras inte efter juni 2023, historiska data finns tillgängliga). - -- [**SEEC-SLU noden:**](/sv/dashboards/wastewater/covid_quantification/covid_quant_slu/) Kvantifiering av mängd SARS-CoV-2 i avloppsvatten från ett antal städer inkl. Stockholm, Malmö, Göteborg, Uppsala, Västerås, Örebro och Umeå, av SEEC-SLU-noden. diff --git a/content/svenska/dashboards/wastewater_background.md b/content/svenska/dashboards/wastewater_background.md new file mode 100644 index 000000000..6c0840b49 --- /dev/null +++ b/content/svenska/dashboards/wastewater_background.md @@ -0,0 +1,54 @@ +--- +title: Avloppsbaserad epidemiologi i Sverige +plotly: true +--- + +## Introduktion + +Avloppsvattenövervakning kan fungera som en effektiv metod för att kartlägga förekomsten av patogener, inklusive SARS-CoV-2, i befolkningen. Metoden kan också fungera som ett ’tidigt varningssystem’ som förutsäger kommande utbrott. Se nedan för [en allmän introduktion till avloppsvattenbaserad epidemiologi](#bakgrund-avloppsvattenbaserad-epidemiologi). + +I den här dashboarden presenteras data från avloppsvattenbaserad epidemiologi från olika svenska städer. Sammanlagt har städerna som ingår här en befolkning på över 4 miljoner invånare (>40% av Sveriges befolkning). Data och resultat som presenteras här kommer från analyser som utförts av tre laboratorier. Två av laboratorierna ingår i [Svenskt Miljöepidemiologiskt Centrum (SEEC)](https://www.scilifelab.se/pandemic-response/pandemic-laboratory-preparedness/swedish-environmental-epidemiology-center-seec/), etablerat av forskare vid fyra svenska universitet (Sveriges lantbruksuniversitet, Kungliga Tekniska högskolan, Karolinska institutet och Uppsala universitet) som ett projekt för att utveckla resurser för pandemiberedskap inom [SciLifeLab’s Pandemic Preparedness Program](https://www.scilifelab.se/pandemic-response). + +De två noderna i SEEC som är involverade i avloppsvattenanalyser är **SEEC-KTH** baserat vid Kungliga Tekniska högskolan (KTH), under ledning av Zeynep Cetecioglu Gurol och **SEEC-SLU** baserat vid Institutionen för vatten och miljö, Sveriges lantbruksuniversitet (SLU), under ledning av docent Anna J. Székely och docent Maja Malmberg. Det tredje laboratoriet som presenterar sina analyser på denna dashboard är baserat vid **Göteborgs universitet (GU)** och leds av professor Heléne Norder. Se [‘Länkar till dashboards’](#länkar-till-dashboards) nedan för mer information om var arbetet från de tre respektive laboratorierna återfinns på dessa dashboards. + +Notera att det förekommer mindre skillnader mellan detektionsmetoderna som grupperna använder. Därför är de absoluta värden som mäts av olika laboratorier inte jämförbara med varandra, och små skillnader i trender kan förekomma. + +## Länkar till dashboards + +- [**Kvantifiering av SARS-CoV-2**](/dashboards/covid_quantification/): Data, visualiseringar och information kopplad till kvantifiering av SARS-CoV-2 i avloppsvatten från olika delar av Sverige. Alla tre forskargrupperna delar historiska data för denna patogen, medan löpande data tillhandahålls av SEEC-SLU. + +- [**Enteric virus quantification**](/dashboards/enteric_quantification/): Data, visualiseringar och information kopplad till kvantifiering av enteriska virus i avloppsvatten från Göteborg. Dessa data samlas in, analyseras och delas av Heléne Norders grupp vid Göteborgs universitet (GU). + +- [**Influenza quantification**](/dashboards/influenza_quantification/): Data, visualiseringar och information kopplad till kvantifiering av influensavirus i avloppsvatten från olika delar av Sverige. Dessa data samlas in, analyseras och delas av SEEC-noden vid Sveriges lantbruksuniversitet (SLU). + +- [**RSV quantification**](/dashboards/wastewater_rsv/): Data, visualiseringar och information relaterad till kvantifiering av respiratoriskt syncytialvirus (RSV) i avloppsvatten i olika delar av Sverige. Dessa data samlas in, analyseras och delas av SEEC-SLU. + +## Tillgänglighet av källkod + +All källkod som skapats för visualiseringarna under de olika flikarna på denna dashboard finns öppet tillgänglig på [GitHub](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/tree/main/wastewater). Skripten finns tillgängliga under respektive visualisering. + +## Insamlingsplatser för avloppsvatten + +Nedan finns en karta som visar de avloppsreningsverk (på engelska wastewater treatment plants, WWTP) från vilka avloppsvattenprover har samlats in och analyserats av de grupper som delar data på den här dashboarden. + +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_map_test.json" height="600px" >}}
+
+ +**Källkod som använts för att skapa kartan:** [Källkod](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/wastewater/interactive_wastewater_map.py). + +Tabellen nedan listar; städerna/orterna som monitoreras av de forskargrupper som delar data, vilka avloppsreningsverk (WWTP) som avloppsprover samlats in ifrån, antal personer i upptagningsområdet (Number of people), om övervakningen är pågående eller inte (Active?), vilket virus som övervakas på platsen (Viruses monitored) och forskargrupp(er) som har övervakat/övervakar platsen. En asterisk (*) bredvid antal personer anger att värdet är baserat på BO-7-värde (en uppskattning av de personer som är anslutna till ett avloppsreningsverk), snarare än antalet personer som är fysiskt anslutna. Informationen i tabellen nedan är [tillgänglig för nedladdning som en excel-fil](https://blobserver.dc.scilifelab.se/blob/overall_ww_collection_sites.xlsx). + +
+
{{< plotly json="https://blobserver.dc.scilifelab.se/blob/wastewater_overallsites.json" height="850px" >}}
+
+ +## Bakgrund: Avloppsvattenbaserad epidemiologi + +Många patogengenom, inklusive SARS-CoV-2, kan med hjälp av metoden polymeraskedjereaktion (PCR) detekteras i avföringsprov som har samlats in från infekterade individer (t.ex. COVID-19-patienter) [Wu _et al_. (2020)](). Övervakning av nivåerna av patogener (t.ex. SARS CoV-2) i avloppsvatten från samhällen kan därför ge en tidig indikation på sjukdomsprevalensen på befolkningsnivå, så kallad avloppsvattenbaserad epidemiologi ([Corpuz _et al._, 2020](https://doi.org/10.1016/j.scitotenv.2020.140910)). + +Avloppsvatten av består spillvatten, dagvatten och kylvatten. Dagvatten kommer från hushåll och fastigheter, exempelvis från kök, toaletter och duschar. Det kan också inkludera vatten från regn och från industriellt bruk. Prover tas regelbundet vid avloppsreningsanläggningar, vilket gör det möjligt att jämföra virusbelastningen över tid. Det har tidigare visats att mängden SARS-CoV-2-virus i avloppsvatten kan ge en indikation på ökad smittspridning bland befolkningen och även att mängden SARS-CoV-2 i avloppsvatten korrelerar med antal fall av COVID-19 och antal patienter som behöver sjukhusvård, se [Peccia _et al._ (2020)](https://doi.org/10.1038/s41587-020-0684-z). Nyligen visade också [Wang _et al._ (2022)](https://pubmed.ncbi.nlm.nih.gov/36035197/) att nivån av SARS-CoV-2 i avloppsvatten ökade 1-2 veckor innan det fanns en ökning av antalet COVID-19-patienter i behov av sjukhusvård. Under COVID-19-pandemin har övervakning av nivån av SARS-CoV-2 i avloppsvatten blivit en vanlig metod för att följa och förutsäga smittspridning. + +Analyser av avloppsvatten ska i första hand ses som ett övervakningssystem. Tillsammans med annan data, t.ex. infektionstestning, intensivvårdsinläggningar etc. kan analyser av avloppsvatten hjälpa till att förstå den regionala dynamiken i sjukdomsutbrott. + +{{< ww_dynamic_content >}} diff --git a/layouts/partials/dashboards.html b/layouts/partials/dashboards.html index 11a2c03bd..8ad3262e6 100644 --- a/layouts/partials/dashboards.html +++ b/layouts/partials/dashboards.html @@ -63,7 +63,7 @@
{{ .Name }}
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