People infected with COVID-19 can shed the virus (called SARS-CoV-2) in their stool, whether or not they have symptoms. By sampling wastewater throughout Wisconsin, we can assess the level of COVID-19 in the population. Wastewater trends can be found on Wisconsin DHS and CDC wastewater dashboards. In addition, by assessing wastewater samples with a technique called genomic sequencing, we can identify which COVID-19 variants are circulating in a community. This is important to understand because new variants can spread faster, cause more severe illnesses, and vaccines may not be as effective against them. Thus, public health officials can better protect community members if they know what variants are circulating and where they are spreading.
To better understand the spread of COVID-19 variants in Wisconsin, the Wisconsin State Laboratory of Hygiene sequences wastewater samples across the state. This project is a collaboration between the Wisconsin Department of Health Services (WI DHS), the Wisconsin State Laboratory of Hygiene (WSLH), the University of Wisconsin-Milwaukee (UWM), and the Milwaukee Health Department (MHD). It is funded by the Centers for Disease Control and Prevention (CDC).
Traditional surveillance methods for COVID-19 generally rely on positive test results from a clinic or a pharmacy. However, as the pandemic has progressed, fewer people have been getting tested, and more are relying on at-home COVID-19 test kits. Since the results of at-home COVID-19 tests are usually not reported, it has become hard for public health authorities to understand the spread of COVID-19 in a community. By using wastewater surveillance, we can better track the spread of COVID-19, regardless of whether people have symptoms or get tested. Sampling wastewater also allows us to monitor all households and businesses in a sewage district, resulting in a representative snapshot of the whole community.
The accuracy of wastewater testing is affected by sewershed-specific wastewater characteristics. Hence, the results displayed below must be interpreted with caution. Wastewater surveillance data is useful because it complements other forms of surveillance and provides an independent assessment of the COVID-19 activity in the population.
The Proportion Report displays the relative abundance, or proportion, of COVID-19 variant groups (described below) over time in wastewater. Variant groups are represented by different colors. The group “Others” includes the variants that were not classified as any of the specific variant groups.
By default, the chart displays the average relative abundance across all sequenced samples. By clicking on “SARS-CoV-2 wastewater level”, bar lengths will reflect the bi-weekly averaged SARS-CoV-2 levels in wastewater. See the Wisconsin DHS dashboard for more details about the wastewater level calculation. Use the drop-down menu to limit the view to a specific community. The legend lists the variants by order of emergence, with the most recent ones at the top. Mouse over the bars to display more information. Each bar reflects a 2-week period of time.
The Prevalence Report shows by default only the most abundant COVID-19 variant group over time for each community participating in the wastewater surveillance system. Variant groups are represented by different colors.
Use the drop-down menu to limit the view to a specific variant group. In the resulting view, the color gradient reflects the relative abundance of the selected variant group in wastewater from 0% to 100%. Mouse over the chart to reveal more information. Use the slider function below the graph to select the desired date range (one year by default). Each box reflects 1-week of data.
The Map or Geographic Report displays pie charts reflecting the relative abundance of the COVID-19 variant groups over the monitored communities.
By default, the current month is displayed. Click on the “play” button to start the animation. Use the drop-down menu to limit the view to a specific variant group. When you select a variant using the drop-down menu, the plot will show you where and when the variant was first detected. In the resulting view, the circle size is proportional to the relative abundance of the selected variant group in wastewater from 0% to 100%. Click over the chart to reveal more information. The variants are listed in the legend in alphabetical order. Data are binned per month.
The Wisconsin State Laboratory of Hygiene WSLH sequences about 20% of the samples that are tested for routine COVID-19 wastewater surveillance. Only samples with sufficient amounts of virus are sequenced. Large cities and university towns are primarily selected to be sequenced. Rural sewersheds are also monitored to obtain a representative picture of COVID-19 variants circulating in the state.
Illumina sequencing data are processed through the viralrecon workflow. The bioinformatics algorithm Freyja is used to evaluate the relative proportion of the SARS-CoV-2 lineages present in wastewater samples. Data are manually curated to only display the lineages according to WHO and Nextstrain nomenclatures. See the CDC website for more information about the current variants of concern and emerging COVID-19 variants.
Changes in the genetic code of the SARS-CoV-2 virus occur as it spreads through communities. These changes are a natural process. If these changes are favorable to the survival of the virus (e.g., spreads faster, avoids the immune system), they will be passed on to the next generation of the virus. When a virus emerges with one or more new variations, it is referred to as a variant of the original virus.
The familiar Greek letter scheme for naming the variants of concern (e.g., Alpha, Delta, Omicron) is derived from the World Health Organization (WHO). However, as variants themselves change over time and give rise to new sub-variants, the WHO naming system has not been specific enough to keep good track of those sub-variants. As a solution, the Nextstrain naming system (see chart below) keeps the WHO naming categories but also combines variants into more detailed groups based on genetic similarities (these groups are also called clades). See Nextstrain and CoVariants for more information. Nextstrain clades described here are automatically displayed on the dashboard.
Recombinant variants are the fusion of multiple variants into one. They are recognizable by their name starting with the letter “X”. Among the recombinants, only the ones described in the Nextstrain clades (e.g., XBB, XEC) are currently monitored. The other recombinants are not monitored.
Phylogenetic relationships of Nextstrain SARS-CoV-2 clades. Tree manually generated using CodeSandbox with the code described here using Nextstrain clades and Pango lineages information.