ArticleThe Science of the total environment2022
Predicting COVID-19 cases in diverse population groups using SARS-CoV-2 wastewater monitoring across Oklahoma City.
Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Recent progress on wastewater-based epidemiology for COVID-19 surveillance: A systematic review of analytical procedures and epidemiological modeling.The Science of the total environment · 2023Pooled it
- From Sewers to Surveillance: Monitoring Salmonella Through Wastewater.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Influence of Sampling Strategies and Disease Prevalence on SARS-CoV-2 Detection Dynamics in Wastewater Surveillance.Viruses · 2026Article
- Advancing health equity in wastewater-based epidemiology: A global critical review and conceptual framework.SSM - population health · 2025Review
- Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach.JMIR public health and surveillance · 2025Article
- Real-Time Monitoring of SARS-CoV-2 Variants in Oklahoma Wastewater through Allele-Specific RT-qPCR.Microorganisms · 2024Article
- Article
- Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models.Heliyon · 2023Review
- Using Wastewater Surveillance to Monitor Gastrointestinal Pathogen Infections in the State of Oklahoma.Microorganisms · 2023Article
- A wastewater-based risk index for SARS-CoV-2 infections among three cities on the Canadian Prairie.The Science of the total environment · 2023Article
- Regional and temporal differences in the relation between SARS-CoV-2 biomarkers in wastewater and estimated infection prevalence - Insights from long-term surveillance.The Science of the total environment · 2023Article
- Assessment of a mass balance equation for estimating community-level prevalence of COVID-19 using wastewater-based epidemiology in a mid-sized city.Scientific reports · 2022Article
- Assessing wastewater-based epidemiology for the prediction of SARS-CoV-2 incidence in Catalonia.Scientific reports · 2022Article
- Effectiveness of building-level sewage surveillance during both community-spread and sporadic-infection phases of SARS-CoV-2 in a university campus population.FEMS microbes · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SARS-CoV-2 was discovered among humans in late 2019 and rapidly spread across the world. Although the virus is transmitted by respiratory droplets, most infected persons also excrete viral particles in their feces. This fact prompted a range of studies assessing the usefulness of wastewater surveillance to determine levels of infection and transmission and produce early warnings of outbreaks in local communities, independently of human testing. In this study, we collected samples of wastewater from 13 locations across Oklahoma City, representing different population types, twice per week from November 2020 to end of March 2021. Wastewater samples were collected and analyzed for the presence and concentration of SARS-CoV-2 RNA using RT-qPCR. The concentration of SARS-CoV-2 in the wastewater showed notable peaks, preceding the number of reported COVID-19 cases by an average of one week (ranging between 4 and 10 days). The early warning lead-time for an outbreak or increase in cases was significantly higher in areas with larger Hispanic populations and lower in areas with a higher household income or higher proportion of persons aged 65 years or older. Using this relationship, we predicted the number of cases with an accuracy of 81-92% compared to reported cases. These results confirm the validity and timeliness of using wastewater surveillance for monitoring local disease transmission and highlight the importance of differences in population structures when interpreting surveillance outputs and planning preventive action.
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