RKI AMELAG wastewater surveillance data with CSV exports and bun fetch script. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
107 lines
4.2 KiB
Markdown
107 lines
4.2 KiB
Markdown
# 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 für 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 — 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% — 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 — the relationship between gc/L and clinical burden is non-linear.
|
||
|
||
---
|
||
|
||
## Substrate Connection
|
||
|
||
- **Problems:** PR-00003 (Performance Society Exhaustion — 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.
|