ArticleTropical medicine and infectious disease2025
Wastewater-Based Surveillance of SARS-CoV-2 and Modeling of COVID-19 Infection Trends.
Article in Tropical medicine and infectious disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Influence of Sampling Strategies and Disease Prevalence on SARS-CoV-2 Detection Dynamics in Wastewater Surveillance.Viruses · 2026Article
- Wastewater-Based Surveillance of SARS-CoV-2 for Early Warning of COVID-19 Infection Dynamics.Viruses · 2026Article
- Transkingdom Interactions Between Viruses and Bacteria: Implications for Wastewater Treatment Efficiency.Food and environmental virology · 2026Review
- Wastewater-based surveillance as a proactive public health tool: insights from SARS-CoV-2 monitoring in Kampala, Uganda (2023-2024).BMC public health · 2026Article
- SARS-CoV-2 wastewater surveillance in a central Chinese metropolis: variant responses and correlation with clinical cases.Frontiers in public health · 2026Article
- Long-term wastewater surveillance of SARS-CoV-2: a 5.5-year study reveals correlation with public health indicators and early warning potential during and after the pandemic.Frontiers in microbiology · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundThis study was performed to evaluate the early warning value of wastewater-based epidemiology (WBE) in monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its correlation with population-level coronavirus disease 2019 (COVID-19) infection trends.
methodsWastewater samples from Fuzhou's Sewage Treatment Plant A were concentrated via membrane filtration and quantified using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Viral load data were integrated with sentinel hospital positivity rates and respiratory outpatient visits from 11 city hospitals. Stratified cross-correlation lag analysis was performed by gender, age, and hospital type.
resultsUsing the lowest single-day genome concentration as a proxy for daily SARS-CoV-2 levels was advantageous. Wastewater viral concentrations correlated positively with clinical cases, with peaks preceding reports by 0 to 17 days. Stratified analysis further indicated that women, older adults, and individuals from general hospitals were more sensitive to changes in wastewater viral loads, showing stronger correlations between infection trends and wastewater signals.
conclusionsWastewater 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.
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