Wastewater-based Surveillance
on SARS-CoV-2

AMELAG - Weekly report
12.06.2024



The SARS-CoV-2 viral load in wastewater is being monitored as part of AMELAG (“Abwassermonitoring für die epidemiologische Lagebewertung”, German for wastewater monitoring for epidemiological situation assessment). Data from 163 sites, i.e. wastewater treatment plants (WWTP), are currently included in the analyses. For the calendar week 23 data from 73 sites were available. Data from other sites will be provided later.

The COVID-19 situation is assessed in the weekly report on acute respiratory diseases (ARE weekly report) in conjunction with other indicators. A comparsion between the aggregated SARS-CoV-2 viral load in wastewater and the COVID-19 incidence is shown in the weekly Grippeweb report.

The course of the viral loads aggregated across all sites is shown in order to obtain an overall picture of the mean viral load and its development. To this end, weekly mean values of the viral loads (given in gene copies/liter), previously transformed by the common logarithm, are computed, first for each site and then across all sites for the respective week. The mean values are weighted according to the number of inhabitants connected to the respective site. The estimation of the regression curve is also weighted, so that weekly mean values with higher uncertainty are given a lower weight in the estimation and vice versa. Figure 1 shows the course of these weekly values (grey dots), a regression curve (black line, estimated using the LOESS method) as well as the uncertainty associated with this curve, calculated as pointwise 95% confidence intervals (light blue area). The viral loads are currently low but showing a slight increase. Last week’s development may still change due to late notifications, especially due to late notifications from sites with large population coverage.

Figure 1: Aggregated SARS-CoV-2 load in wastewater over time along with regression curve and associated 95% confidence intervals. The data was last updated on Tuesday the 11.06.2024, 10 am. The latest data used in the calculations is from the previous Wednesday’s sampling (05.06.2024, CW 23). Shown are 7-day averages, which refer to the period from Thursday to Wednesday; the most recent value is calculated from the data from 30.05.2024 (CW 22), to 05.06.2024 (CW 23). The date of the sample corresponds to the start date of the 24-hour composite sample.
The time period displayed can be adjusted using the buttons on the top left. The button on the right allows you to display the data points, regression curve and confidence intervals on the logarithmic scale or transformed back to the original scale. It should be taken into account when interpreting the data that changes in viral loads in the low value range are emphasized more strongly than values in the high value range on a logarithmic scale. By hovering over the individual points the calendar week, the date of the corresponding Wednesday, the viral load, the number of sites and the proportion of the total population that is included in the calculation at that time are shown.
Only data from sites for which data is available from the last five calendar weeks is included. The number of sites included at each point in time may differ between the figures, as the sites with fewer than 10 data points are not included in all figures.
Data for further sites will be supplied subsequently.

Additionally, the course of the viral load in wastewater is shown for the individual WWTPs in Figure 2. Displayed are the normalized viral loads measured at a WWTP (grey dots), a corresponding regression curve (black line, estimated using the LOESS method) and the uncertainty associated with the estimated curve, calculated as pointwise 95% confidence intervals (light blue area).

Figure 2: SARS-CoV-2 load in wastewater over time along with the regression curve and associated 95% confidence intervals. The data was last updated on 11.06.2024, 10 am. The date of the sample corresponds to the start date of the 24-hour composite sample.
The location can be selected using the filter and the time period displayed can be adjusted using the buttons on the top left. The button on the right allows you to display the data points, regression curve and confidence intervals on the logarithmic scale or transformed back to the original scale. Changes in viral loads in the low value range are easier to recognize on a logarithmic scale. By hovering over the individual points the calendar week, date of sampling and viral load are shown.
Those sites for which data is available within the last five calendar weeks are shown. For sites with fewer than 10 data points, only the individual data points are shown. The corresponding regression curves and confidence intervals will be calculated when at least 10 data points are available.
Data from other sites will be supplied subsequently.

From the regression curves in Figure 2, trends for the viral load in the wastewater can be calculated for each location. These trends are shown in Figure 3. On the x-axis, i.e. in the columns, the period starting from calendar week 6/2024 is shown. The individual sites are shown on the y-axis, i.e. in the rows. The color indicates the trend category. For the calendar week 23 a trend could be calculated for 56 sites. For 29 sites, the trend indicates an increasing viral load.

All

BB

BE

BW

BY

HB

HE

HH

MV

NI

NW

RP

SH

SL

SN

ST

TH

Figure 3: Change in SARS-CoV-2 load in wastewater per site.
Trend categories: “increasing” (defined as an increase of more than 15% compared to the previous week), “unchanged” (change between -15% and 15% compared to the previous week) and “decreasing” (decrease of more than 15% compared to the previous week).
The data was last updated on 11.06.2024, 10 am. The most recent data included in the trends calculated here is from the previous Wednesday’s sampling (05.06.2024, CW 23). The date of the sample corresponds to the start date of the 24-hour composite sample. As the trend is calculated as the change in the (smoothed) viral load compared to the previous week’s value, the calendar week 23 describes the period from Wednesday, the 29.05.2024 (CW 22), to Wednesday, the 05.06.2024 (CW 23). Shown are sites which supplied at least 10 data points within the last five calendar weeks. Sites that have already provided data but fewer than 10 data points include. Since sites with fewer than 10 data points are not included in this figure, but are included in the calculations for Figure 1, the number of sites included at a point in time may differ between the figures.
Data for other sites will be supplied subsequently.

The geographical locations of those WWTPs that have already delivered data are shown in Figure 4.


Figure 4: Map of the WWTPs.

The following WWTPs already provide data and will be included in all calculations as soon as at least 10 data points are available: Freilassing .

In AMELAG, wastewater samples from 8 WWTPs / sampling sites are also sequenced and analyzed by the Technical University of Darmstadt as cooperation partner. This allows the relative increase or decrease of already known variants to be determined (Figure 5). The relative proportions of the variants KP.2 (a so-called FLiRT variant) and KP.3, both derived from JN.1, have been increasing since around calendar week 15 2024. The current WHO classification of SARS-CoV-2 variants considers EG.5, BA.2.86 and JN.1 as VOI and JN.1.7, KP.2, KP.3 and JN.1.18 as VUM. The variants XBB.1.5 and XBB.1.16 were recently downgraded by the WHO and are no longer classified as VOI or VUM.

Figure 5: Percentage of current SARS-CoV-2 variants of interest (VOI) and SARS-CoV-2 variants under observation (VUM). The percentages also include all respective sublines of a variant, with the exception of the sublines specifically listed here. For example, BA.2.86 does not include the relative proportions of JN.1 and its sublines. The results of the sampling of 8 WWTPs / sampling sites are shown since calendar week 35 2023, as far as the data are available. The selection of the sublines shown is based on the WHO classification. Further explanations of the classification can be found on the integrated genomic surveillance page. FFM = Frankfurt am Main. Prevalence = relative proportion of variants. The analysis is based on the Freyja bioinformatics tool and is therefore dependent on the Freyja reference used to identify SARS-CoV-2 variants.

Background

In the case of some infectious diseases, infected persons excrete the pathogens in their stool. Laboratories can examine the wastewater and detect the pathogens there. This allows the spread of these pathogens to be monitored.

In the project AMELAG (Wastewater monitoring for epidemiological situation assessment) SARS-CoV-2 is monitored in wastewater. Up to 175 WWTPs will participate nationwide. In addition to SARS-CoV-2, other pathogens will also be investigated. In AMELAG, the Federal Environment Agency and the Robert Koch Institute are working together with the Bundeswehr Medical Service, the health and environmental authorities of the federal states, laboratories, universities and the operators of the wastewater treatment plants. The project is funded by the Federal Ministry of Health.

The data shown here originates from the projects AMELAG, ESI-CorA, COVIDready, Sars-GenASeq, Wastewater Biomarker CoV-2 and projects funded by the federal states. ESI-CorA was funded by the European Commission as part of the Emergency Support Instrument (ESI) (No 060701/2021/864650/SUB/ENV.C2). COVIDready, Sars-GenASeq and Wastewater Biomarker CoV-2 were funded by the Federal Ministry of Education and Research.

The methods are described in the technical guidelines 1 - 4 at http://www.rki.de/abwassersurveillance.

Data and software code from the AMELAG project are published on Zenodo and GitHub.

Limitations

Wastewater data do not allow any conclusions to be drawn about the severity of the disease or the burden on the healthcare system. As things stand, wastewater data cannot be used to draw precise conclusions about incidence/prevalence or underreporting. The data should always be considered in conjunction with other indicators, e.g. from syndromic surveillance in order to asses the situation epidemiologically.

Absolute viral loads cannot be compared directly with regard to the number of infected persons, especially over longer periods of time, as the amount of virus excreted per infected person can differ between different virus variants, for example.

The values determined are influenced by a variety of factors (e.g. changes in the waste water supply, heavy rainfall events or tourist events), which can only be partially compensated for by normalization.


Suggested citation
Robert Koch-Institut, Umweltbundesamt: AMELAG-Weekly Report CW 24/2024 | DOI: 10.25646/12147


Contact

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Umweltbundesamt
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