ArticleInfectious Disease Modelling2023
An exploration of the relationship between wastewater viral signals and COVID-19 hospitalizations in Ottawa, Canada.
Article in Infectious Disease Modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- 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
- Reconstructing the incidence rate and immune fraction of the population via a single snapshot survey: A case study of COVID-19 in Japan.PLoS computational biology · 2026Article
- Article
- Wastewater as an early indicator for short-term forecasting COVID-19 hospitalization in Germany.BMC public health · 2025Article
- Post-recovery viral shedding shapes wastewater-based epidemiological inferences.Communications medicine · 2025Article
- Predicting COVID-19 Cases Across a Large University Campus Using Built Environment Surveillance.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2024Article
- Estimating the effective reproduction number of COVID-19 from population-wide wastewater data: An application in Kagawa, Japan.Infectious Disease Modelling · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
Monitoring of viral signal in wastewater is considered a useful tool for monitoring the burden of COVID-19, especially during times of limited availability in testing. Studies have shown that COVID-19 hospitalizations are highly correlated with wastewater viral signals and the increases in wastewater viral signals can provide an early warning for increasing hospital admissions. The association is likely nonlinear and time-varying. This project employs a distributed lag nonlinear model (DLNM) (Gasparrini et al., 2010) to study the nonlinear exposure-response delayed association of the COVID-19 hospitalizations and SARS-CoV-2 wastewater viral signals using relevant data from Ottawa, Canada. We consider up to a 15-day time lag from the average of SARS-CoV N1 and N2 gene concentrations to COVID-19 hospitalizations. The expected reduction in hospitalization is adjusted for vaccination efforts. A correlation analysis of the data verifies that COVID-19 hospitalizations are highly correlated with wastewater viral signals with a time-varying relationship. Our DLNM based analysis yields a reasonable estimate of COVID-19 hospitalizations and enhances our understanding of the association of COVID-19 hospitalizations with wastewater viral signals.
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