Wastewater surveillance as a predictive tool for COVID-19: A case study in Chengdu.
<h4>Objective</h4>This study was conducted to enhance conventional epidemiological surveillance by implementing city-wide wastewater monitoring of SARS-CoV-2 RNA. The research aimed to develop a quantitative model for estimating infection rates and to compare these predictions with clini...
Saved in:
| Main Authors: | Dan Kuang, Xufang Gao, Nan Du, Jiaqi Huang, Yingxu Dai, Zhenhua Chen, Yao Wang, Cheng Wang, Rong Lu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0324521 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interaction effects of high temperature and ozone on cardiovascular disease mortality in Chengdu, 2014–2023
by: Jinqiu Yao, et al.
Published: (2025-07-01) -
Analysis of a syndromic surveillance system for infectious diseases of the 31st summer World University Games in Chengdu, China
by: Yao Wang, et al.
Published: (2025-07-01) -
The potential of wastewater monitoring as a novel surveillance tool for early warning of Bordetella pertussis outbreaks
by: Songzhe Fu, et al.
Published: (2025-12-01) -
Evaluating Interlaboratory Variability in Wastewater-Based COVID-19 Surveillance
by: Arianna Azzellino, et al.
Published: (2025-02-01) -
Wastewater-based epidemiology for COVID-19 surveillance and beyond: A survey
by: Chen Chen, et al.
Published: (2024-12-01)