ArticleNature communications2023
Wastewater-based epidemiology predicts COVID-19-induced weekly new hospital admissions in over 150 USA counties.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Influence of Sampling Strategies and Disease Prevalence on SARS-CoV-2 Detection Dynamics in Wastewater Surveillance.Viruses · 2026Article
- Site-specific wastewater-based surveillance in early detection of COVID-19 new cases and prediction of mass testing outcomes in long-term care facilities.Scientific reports · 2026Article
- Cost-Effective Sampling Strategies for Wastewater Surveillance: A Large-Scale Longitudinal Study in Hong Kong and Shenzhen.Environmental science & technology · 2026Article
- Respiratory virus surveillance in the post-pandemic era: challenges and opportunities for dashboard-based public health action.BMC proceedings · 2026Article
- Applying weighted quantile sum regression to wastewater surveillance: enteric viral mixtures and diarrheal disease trends in Costa Rica.Journal of water and health · 2026Article
- A dual-branch deep learning framework for tiered early warning of COVID-19 utilizing wastewater data.Journal of water and health · 2026Article
- Advances in Biosensor Technology for Illicit Drug Detection Enable Effective Wastewater Surveillance.Chem & bio engineering · 2026Review
- SARS-CoV-2 wastewater genomic surveillance: approaches, challenges, and opportunities.Genome biology · 2026Review
- Near-Source Wastewater Surveillance of SARS-CoV-2, Influenza A, and Respiratory Syncytial Virus With Spatiotemporal Evaluation of Pepper Mild Mottle Virus as a Fecal Indicator.Water environment research : a research publication of the Water Environment Federation · 2026Article
- SARS-CoV-2 wastewater surveillance in a central Chinese metropolis: variant responses and correlation with clinical cases.Frontiers in public health · 2026Article
- Wastewater-based epidemiology of influenza A virus in Shenzhen: baseline values and implications for multi-pathogen surveillance.Emerging microbes & infections · 2025Article
- Association between SARS-CoV-2 levels in urban wastewater and reported COVID-19 cases in Changsha, Central China.BMC infectious diseases · 2025Article
- Data science for pediatric infectious disease: utilizing COVID-19 as a model.Current opinion in infectious diseases · 2025Review
- Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community.The Journal of infectious diseases · 2025Observational
- Wastewater as an early indicator for short-term forecasting COVID-19 hospitalization in Germany.BMC public health · 2025Article
- WATER NEWS: a field approach for sustainable detection of pathogens in wastewater.National science review · 2025Article
- Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.Scientific reports · 2025Article
- Article
- Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives.Microorganisms · 2025Review
- Measuring SARS-CoV-2 RNA in Bangkok wastewater treatment plants and estimating infected population after fully opening the country in 2023, Thailand.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the coronavirus disease (COVID-19) emergency status is easing, the COVID-19 pandemic continues to affect healthcare systems globally. It is crucial to have a reliable and population-wide prediction tool for estimating COVID-19-induced hospital admissions. We evaluated the feasibility of using wastewater-based epidemiology (WBE) to predict COVID-19-induced weekly new hospitalizations in 159 counties across 45 states in the United States of America (USA), covering a population of nearly 100 million. Using county-level weekly wastewater surveillance data (over 20 months), WBE-based models were established through the random forest algorithm. WBE-based models accurately predicted the county-level weekly new admissions, allowing a preparation window of 1-4 weeks. In real applications, periodically updated WBE-based models showed good accuracy and transferability, with mean absolute error within 4-6 patients/100k population for upcoming weekly new hospitalization numbers. Our study demonstrated the potential of using WBE as an effective method to provide early warnings for healthcare systems.
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