Wastewater-based epidemiology: deriving a SARS-CoV-2 data validation method to assess data quality and to improve trend recognition
Good data quality is crucial for trend recognition, both on the WWTP level and when aggregating data from several WWTPs to regional or national trends. Our model can help to improve data quality in the context of health-related monitoring and can be optimised for each individual WWTP to account for the large diversity among WWTPs.
Authors
- Anna Uchaikina (ORCID: https://orcid.org/0000-0002-8241-0534)
- Ulrike Braun (ORCID: https://orcid.org/0000-0002-3682-3637)
- Christian Wurzbacher (ORCID: https://orcid.org/0000-0001-7418-0831)
- Nathan Obermaier (ORCID: https://orcid.org/0000-0002-8875-0820)
- Jörg E. Drewes (ORCID: https://orcid.org/0000-0003-2520-7596)
- Cristina J. Saravia (ORCID: https://orcid.org/0009-0006-7646-7215)
- Peter Pütz (ORCID: https://orcid.org/0000-0002-2948-0189)
- Claus Gerhard Bannick
Institutions
- Robert Koch Institute (DE)
- German Environment Agency (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-12-12
- DOI
- https://doi.org/10.3389/fpubh.2024.1497100
- Citations
- 8
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 3.11
Funders
- European Commission
- Bundesministerium für Gesundheit
- Ministry of Health, British Columbia
- Umweltbundesamt
- Robert Koch Institut