ArticleACS ES&T water2022
Predicting COVID-19 Infected Individuals in a Defined Population from Wastewater RNA Data.
Article in ACS ES&T water, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Label-free, non-optical detection of intact SARS-CoV-2 virions in native human saliva via microscale surface ion conduction.Biosensors & bioelectronics · 2026Article
- Genomic Analysis and Surveillance of Respiratory Syncytial Virus Using Wastewater-Based Epidemiology.The Journal of infectious diseases · 2024Article
- Article
- An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: a Covid-19 case study.Scientific reports · 2024Article
- Longitudinal fecal shedding of SARS-CoV-2, pepper mild mottle virus, and human mitochondrial DNA in COVID-19 patients.Frontiers in medicine · 2024Article
- An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: A Covid-19 case study.Research square · 2023Article
- Quantification of SARS-CoV-2 in wastewater samples from hospitals treating COVID-19 patients during the first wave of the pandemic in Brazil.The Science of the total environment · 2023Article
- SARS-CoV-2 genetic material is removed during municipal wastewater treatment and is undetectable after advanced treatment.The Science of the total environment · 2023Article
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Authors and funding
12 authors.
Funding
Abstract
Wastewater surveillance of SARS-CoV-2 RNA has become an important tool for tracking the presence of the virus and serving as an early indicator for the onset of rapid transmission. Nevertheless, wastewater data are still not commonly used to predict the number of infected individuals in a sewershed. The main objective of this study was to calibrate a susceptible-exposed-infectious-recovered (SEIR) model using RNA copy rates in sewage (i.e., gene copies per liter times flow rate) and the number of SARS-CoV-2 saliva-test-positive infected individuals in a university student population that was subject to repeated weekly testing during the Spring 2021 semester. A strong correlation was observed between the RNA copy rates and the number of infected individuals. The parameter in the SEIR model that had the largest impact on calibration was the maximum shedding rate, resulting in a mean value of 7.72 log
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