Adjust the links and add news

content/english/dashboards/wastewater/covid_quant_KTH.md

@@ -62,7 +62,7 @@ Please also note that although the same methods are used for all cities shown on
 </div>
 
 <div class="plot_wrapper mb-3">
-  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/test_new_ww_sthlm.json" height="550px" >}}</div>
+  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/wastewater_combined_stockholm.json" height="550px" >}}</div>
 </div>
 
 **Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/covid-portal-visualisations/blob/main/wastewater/combined_stockholm_regular.py).
@@ -76,10 +76,10 @@ Please also note that although the same methods are used for all cities shown on
 </div>
 
 <div class="plot_wrapper mb-3">
-  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/wastewater_kthmalmö.json" height="550px" >}}</div>
+  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/wastewater_kthmalmo.json" height="550px" >}}</div>
 </div>
 
-**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/covid-portal-visualisations/blob/main/wastewater/combined_slu_regular.py).
+**Code used to produce plot:** [Script to produce plot](https://github.com/ScilifelabDataCentre/covid-portal-visualisations/blob/main/wastewater/quant_malmo_kthplot.py).
 
 ## Commentary from the research group
 

content/english/updates/idtk_nation_resource.md

@@ -0,0 +1,17 @@
+---
+title: Swedish national resources on IDTk
+date: 2023-04-28
+summary: The Portal is a partner in the BY-COVID project. We have added a page to the Infectious Diseases Toolkit (IDTk) related to infectious disease data in Sweden.
+banner: /updates/banners/IDTk.png
+banner_caption: Infectious Diseases Toolkit (IDTk) logo.
+---
+
+We are very happy to announce the publication of the [Swedish national page](https://www.infectious-diseases-toolkit.org/national-resources/sweden) on the [Infectious Diseases Toolkit (IDTk)](https://www.infectious-diseases-toolkit.org).
+
+The Infectious Diseases Toolkit (IDTk) is being developed as part of the [BeYond-COVID (BY-COVID) project](https://by-covid.org/). The €12 million project is funded by Horizon Europe and was launched in 2021. For more information on the project, please see our [previous news release](/updates/by-covid/), our [about page](/about/partner_organisations/) or the [BY-COVID website](https://by-covid.org/).
+
+[SciLifeLab Data Centre](https://scilifelab.se/data/), who operates the COVID-19 and Pandemic Preparedness Portal, is a partner in the project. We work in particular on building the [Infectious Diseases Toolkit (IDTk)](https://www.infectious-diseases-toolkit.org), together with various collaborators in the BY-COVID consortium. The Infectious Disease Toolkit is a community effort to highlight best practice and and showcase solutions to data challenges affecting the response to infectious diseases outbreaks. It will include pages detailing best practice for data management for four main topic areas (pathogen characterisation, socioeconomic data, human biomolecular data, and human clinical and health data), as well as showcases, national resources, and resource lists. In each of the four topic areas, there are individual pages on different parts of the data life cycle (e.g. data description, data analysis, and data communication). The showcase pages describe individual resources or efforts, largely produced during the COVID-19 pandemic, that could potentially be repurposed for use in future pandemics. The national resources pages provide a general overview of resources, tools, and information related to the management of infectious disease data in a given country. The aim of these pages is ultimately to promote greater information exchange between countries so that everyone can benefit from each other’s experiences.
+
+The [Swedish national page](https://www.infectious-diseases-toolkit.org/national-resources/sweden) is the first national resources page on the IDTk. It includes information on multiple topics including; health authorities, disease surveillance initiatives, dashboards and visualisation platforms, national data sources, regulations, and information on domain-specific infrastructures or resources. All of the information on the page is centred on infectious disease data.
+
+As mentioned, the IDTk is a community effort, and we are looking for contributors. If you would like to add anything to an existing page, or even a whole new page, please do not hesitate to get in touch, either via the [IDTk](https://www.infectious-diseases-toolkit.org/contribute/) or by [contacting us in the Swedish Portal team](/contact/).

content/english/updates/update_wastewater_section.md

@@ -0,0 +1,15 @@
+---
+title: Update to wastewater epidemiology dashboard
+date: 2023-04-28
+summary: The Portal team is working closely with groups at multiple Swedish universities that are involved in wastewater epidemiology to bring you the latest research in this area.
+banner: /dashboard_thumbs/wastewater.jpg
+banner_caption: Picture by Kari Kohvakka (Stockholm Vatten och Avfall).
+---
+
+Today, we are thrilled to release the first stage of the update of our [wastewater-based epidemiology in Sweden dashboard](/dashboards/wastewater/introduction/).
+
+The dashboard will still contain data and information related to the [quantification of the SARS-CoV-2 virus](/dashboards/wastewater/covid_quantification/), which has been popular with users from the start! However, it will now be clearer which data is provided by which research group, and how each group conducts their research.
+
+Previously, data was provided by two groups; the [SEEC (The Swedish Environmental Epidemiology Center)](https://www.scilifelab.se/pandemic-response/pandemic-laboratory-preparedness/swedish-environmental-epidemiology-center-seec/) nodes at KTH Royal Institute of Technology (KTH), and Swedish University of Agricultural Sciences (SLU). Now, data is also being provided by the Norder group at Gothenburg university (GU). In order to find out more about the areas tested by the different groups, see our [quantification of SARS-CoV-2 virus page](/dashboards/wastewater/covid_quantification/), as well as the individual pages detailing the work done by each of the groups contributing data to the dashboard: [SLU](/dashboards/wastewater/covid_quant_slu/), [KTH](/dashboards/wastewater/covid_quant_kth/), and [GU](/dashboards/wastewater/covid_quant_gu/).
+
+In the coming months, we will be further expanding this dashboard. Not only do we expect to have more data on SARS-CoV-2, but we also anticipate more data on other diseases. This highlights how similar methods can be used to track different of pathogens, and to process and share that data. This is key to future pandemic preparedness, which is what this portal is all about!

content/svenska/dashboards/wastewater/covid_quant_KTH.md

@@ -61,7 +61,7 @@ Notera också att även om samma metoder används för alla städer som visas p
 </div>
 
 <div class="plot_wrapper mb-3">
-  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/test_new_ww_sthlm.json" height="550px" >}}</div>
+  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/wastewater_combined_stockholm.json" height="550px" >}}</div>
 </div>
 
 **Källskod som används för att skapa grafen:** [Källskod](https://github.com/ScilifelabDataCentre/covid-portal-visualisations/blob/main/wastewater/combined_stockholm_regular.py).
@@ -75,10 +75,10 @@ Notera också att även om samma metoder används för alla städer som visas p
 </div>
 
 <div class="plot_wrapper mb-3">
-  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/wastewater_kthmalmö.json" height="550px" >}}</div>
+  <div class="table-responsive">{{< plotly json="https://blobserver.dckube.scilifelab.se/blob/wastewater_kthmalmo.json" height="550px" >}}</div>
 </div>
 
-**Källskod som används för att skapa grafen:** [Källskod](https://github.com/ScilifelabDataCentre/covid-portal-visualisations/blob/main/wastewater/combined_slu_regular.py).
+**Källskod som används för att skapa grafen:** [Källskod](https://github.com/ScilifelabDataCentre/covid-portal-visualisations/blob/main/wastewater/quant_malmo_kthplot.py).
 
 ## Kommentarer från forskargruppen