Wastewater surveillance as a predictive tool for COVID-19: A case study in Chengdu
This study demonstrates the effectiveness of wastewater surveillance as a long-term sentinel approach for monitoring SARS-CoV-2 and providing early warnings for COVID-19 outbreaks during large international events. This method significantly enhances traditional epidemiological surveillance. The quantitative wastewater surveillance model offers a reliable means of estimating the number of infected individuals, which can be instrumental in informing policy decisions.
Authors
- Ning Du (ORCID: https://orcid.org/0000-0001-5394-8776)
- Dan Kuang (ORCID: https://orcid.org/0000-0002-0208-0812)
- Cheng Wang (ORCID: https://orcid.org/0000-0002-1590-7954)
- Zhenhua Chen (ORCID: https://orcid.org/0000-0002-0161-0236)
- Rong Lu
- Yingxu Dai
- Jiaqi Huang (ORCID: https://orcid.org/0000-0002-6514-3075)
- Yao Wang (ORCID: https://orcid.org/0000-0002-7024-4233)
- Xufang Gao
Institutions
- Chengdu Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1371/journal.pone.0324521
- Citations
- 2
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 2.79