Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence

Authors

Ted Smith, University of Louisville
Rochelle H. Holm, University of LouisvilleFollow
Rachel J. Keith, University of Louisville
Alok R. Amraotkar, University of Louisville
Chance R. Alvarado, The Ohio State University
Krzysztof Banecki, Warsaw University of Technology
Boseung Choi, Korea University - Korea
Ian Santisteban, University of Louisville
Adrienne M. Bushau-Sprinkle, University of Louisville
Kathleen T. Kitterman, University of Louisville
Joshua Fuqua, University of Louisville
Krystal T. Hamorsky, University of Louisville
Kenneth E. Palmer, University of Louisville
J. Michael Brick, Westat, Inc.
Aruni Bhatnagar, University of Louisville
Grzegorz A. Rempala, The Ohio State University

Document Type

Article

Publication Date

9-6-2022

Department

Medicine

Department

Pharmacology and Toxicology

Abstract

Robust epidemiological models relating wastewater to community disease prevalence are lacking. Assessments of SARS-CoV-2 infection rates have relied primarily on convenience sampling, which does not provide reliable estimates of community disease prevalence due to inherent biases. This study conducted serial stratified randomized samplings to estimate the prevalence of SARS-CoV-2 antibodies in 3717 participants and obtained weekly samples of community wastewater for SARS-CoV-2 concentrations in Jefferson County, KY (USA) from August 2020 to February 2021. Using an expanded Susceptible-Infected-Recovered model, the longitudinal estimates of the disease prevalence were obtained and compared with the wastewater concentrations using regression analysis. The model analysis revealed significant temporal differences in epidemic peaks. The results showed that in some areas, the average incidence rate,

Comments

© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Original Publication Information

Ted Smith, Rochelle H. Holm, Rachel J. Keith, Alok R. Amraotkar, Chance R. Alvarado, Krzysztof Banecki, Boseung Choi, Ian C. Santisteban, Adrienne M. Bushau-Sprinkle, Kathleen T. Kitterman, Joshua Fuqua, Krystal T. Hamorsky, Kenneth E. Palmer, J. Michael Brick, Grzegorz A. Rempala, Aruni Bhatnagar, Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence, Science of The Total Environment, Volume 853, 2022, 158567, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2022.158567. (https://www.sciencedirect.com/science/article/pii/S0048969722056662)

ThinkIR Citation

Smith, Ted; Holm, Rochelle H.; Keith, Rachel J.; Amraotkar, Alok R.; Alvarado, Chance R.; Banecki, Krzysztof; Choi, Boseung; Santisteban, Ian; Bushau-Sprinkle, Adrienne M.; Kitterman, Kathleen T.; Fuqua, Joshua; Hamorsky, Krystal T.; Palmer, Kenneth E.; Brick, J. Michael; Bhatnagar, Aruni; and Rempala, Grzegorz A., "Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence" (2022). Faculty and Staff Scholarship. 928.
https://ir.library.louisville.edu/faculty/928

DOI

10.1016/j.scitotenv.2022.158567

ORCID

0000-0001-8849-1390