Wastewater-Based Surveillance of SARS-CoV-2 and Modeling of COVID-19 Infection Trends
Wastewater surveillance of SARS-CoV-2 can effectively predict COVID-19 infection trends and offers a scientific basis for stratified and targeted interventions. The findings underscore the value of WBE as an early warning tool in public health surveillance.
Authors
- Liangping Chen
- Chuancheng Wu (ORCID: https://orcid.org/0000-0003-2101-4738)
- Yu Jiang (ORCID: https://orcid.org/0000-0003-4045-1634)
- Jing Li (ORCID: https://orcid.org/0000-0002-2326-8750)
- Shilin Chen (ORCID: https://orcid.org/0000-0002-0449-236X)
- Wenli Wang (ORCID: https://orcid.org/0000-0002-3907-8126)
- Ruoyu Li (ORCID: https://orcid.org/0000-0003-1451-3598)
- Jing Wu (ORCID: https://orcid.org/0000-0003-3283-0861)
- Zhiwei Chen (ORCID: https://orcid.org/0009-0002-0246-5453)
- Jianjun Xiang (ORCID: https://orcid.org/0000-0001-8107-2580)
Institutions
- Fujian Medical University (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Tropical Medicine and Infectious Disease
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3390/tropicalmed10090264
- Citations
- 1
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Natural Science Foundation of Fujian Province
- Fujian Medical University