# DE Wastewater Surveillance (AMELAG) --- ## 🎯 BEST ESTIMATE | Metric | Value | Confidence | Last Updated | |--------|-------|------------|--------------| | **SARS-CoV-2 viral load (national)** | **~1,554 gc/L** | 90% | 2026-04-15 | | **SARS-CoV-2 4-week trend** | **-52.8% (↓↓)** | 85% | 2026-04-15 | | **SARS-CoV-2 % of all-time peak** | **0.3%** | 90% | 2026-04-15 | | **Influenza A 4-week trend** | **-39.3% (↓↓)** | 85% | 2026-04-15 | | **RSV B 4-week trend** | **-27.0% (↓↓)** | 85% | 2026-04-15 | **One-liner:** All five tracked respiratory pathogens declining in German wastewater, SARS-CoV-2 at 0.3% of peak. **Caveat:** Wastewater surveillance detects population-level viral shedding, not clinical severity; seasonal declines are expected in spring. --- ## Quick Context Germany's AMELAG network (Abwassersurveillance fΓΌr die epidemiologische Lagebewertung) monitors respiratory viruses in wastewater from ~67–75 treatment plants covering ~25% of the population. Wastewater data provides an unbiased signal of community infection levels because it captures all shedding individuals regardless of testing behavior. The system tracks SARS-CoV-2, Influenza A/B, and RSV A/B with weekly population-weighted national aggregates. --- ## Datasets ### wastewater-latest.csv Full time series for all pathogen types (SARS-CoV-2, Influenza A/B, RSV A/B, and combined variants). - **datum**: Week date (Wednesday of reporting week) - **typ**: Pathogen type - **n_sites**: Number of reporting wastewater treatment plants - **pop_coverage_pct**: Population coverage percentage - **viruslast_gc_per_l**: Viral load in gene copies per liter - **viruslast_normalisiert**: Flow-normalized viral load - **vorhersage_gam**: GAM-smoothed prediction value - **obere_schranke / untere_schranke**: 95% confidence intervals ### wastewater-summary.csv Current status summary per primary pathogen with trend analysis. --- ## Methodology Summary **Approach:** Population-weighted aggregation of wastewater treatment plant viral load measurements, smoothed with Generalized Additive Models (GAM). **Sources:** - [AMELAG β€” RKI / Umweltbundesamt (GitHub)](https://github.com/robert-koch-institut/Abwassersurveillance_AMELAG) - [Infektionsradar (Dashboard)](https://infektionsradar.rki.de/de/covid/abwasser) - [Umweltbundesamt PiA-Monitor](https://www.umweltbundesamt.de/amelag) **Definition Used:** Gene copies per liter (gc/L) of treated wastewater influent, population-weighted national aggregate across reporting sites. --- ## Source Analysis ### Why These Sources? | Source | Strengths | Weaknesses | Weight Given | |--------|-----------|------------|--------------| | **AMELAG GitHub (RKI/UBA)** | Official open data, CC-BY 4.0, machine-readable TSV, weekly updates | ~25% population coverage, 1-2 week lag | High | | **Infektionsradar Dashboard** | Visual context, additional metrics | No public API, frontend-only | Reference | ### Key Limitations 1. Population coverage is ~25% β€” not all German cities/regions are equally represented. 2. Lab changes at individual sites can cause discontinuities (flagged in individual site data). 3. Wastewater measures viral shedding, not infections or severity β€” the relationship between gc/L and clinical burden is non-linear. --- ## Substrate Connection - **Problems:** PR-00003 (Performance Society Exhaustion β€” pandemic impact on work/health) - **Related Datasets:** Bay-Area-COVID-Wastewater (US equivalent) - **Cross-reference:** DE-Mental-Health (pandemic impact on mental health indicators) --- ## Research Metadata | Attribute | Value | |-----------|-------| | **Research Date** | 2026-04-22 | | **Researcher** | Sven / PAI | | **Method** | Automated fetch from AMELAG GitHub TSV | | **Confidence Level** | 90% | | **Known Gaps** | Individual site data not included in summary; variant-level data not available in wastewater | --- ## Changelog | Date | Change | Reason | |------|--------|--------| | 2026-04-22 | Initial dataset creation | Implement DE wastewater surveillance from AMELAG | --- ## Full Data See `wastewater-latest.csv` for the complete time series (905 data points across all pathogen types). Fetch script: `bun get-de-wastewater` from Substrate root.