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Use of Wastewater Metrics to Track COVID-19 in the US
IMPORTANCE: Widespread use of at-home COVID-19 tests hampers determination of community COVID-19 incidence. OBJECTIVE: To examine the association of county-level wastewater metrics with high case and hospitalization rates nationwide both before and after widespread use of at-home tests. DESIGN, SETT...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372707/ https://www.ncbi.nlm.nih.gov/pubmed/37494040 http://dx.doi.org/10.1001/jamanetworkopen.2023.25591 |
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author | Varkila, Meri R. J. Montez-Rath, Maria E. Salomon, Joshua A. Yu, Xue Block, Geoffrey A. Owens, Douglas K. Chertow, Glenn M. Parsonnet, Julie Anand, Shuchi |
author_facet | Varkila, Meri R. J. Montez-Rath, Maria E. Salomon, Joshua A. Yu, Xue Block, Geoffrey A. Owens, Douglas K. Chertow, Glenn M. Parsonnet, Julie Anand, Shuchi |
author_sort | Varkila, Meri R. J. |
collection | PubMed |
description | IMPORTANCE: Widespread use of at-home COVID-19 tests hampers determination of community COVID-19 incidence. OBJECTIVE: To examine the association of county-level wastewater metrics with high case and hospitalization rates nationwide both before and after widespread use of at-home tests. DESIGN, SETTING, AND PARTICIPANTS: This observational cohort study with a time series analysis was conducted from January to September 2022 in 268 US counties in 22 states participating in the US Centers for Disease Control and Prevention’s National Wastewater Surveillance System. Participants included the populations of those US counties. EXPOSURES: County level of circulating SARS-CoV-2 as determined by metrics based on viral wastewater concentration relative to the county maximum (ie, wastewater percentile) and 15-day percentage change in SARS-CoV-2 (ie, percentage change). MAIN OUTCOMES AND MEASURES: High county incidence of COVID-19 as evidenced by dichotomized reported cases (current cases ≥200 per 100 000 population) and hospitalization (≥10 per 100 000 population lagged by 2 weeks) rates, stratified by calendar quarter. RESULTS: In the first quarter of 2022, use of the wastewater percentile detected high reported case (area under the curve [AUC], 0.95; 95% CI, 0.94-0.96) and hospitalization (AUC, 0.86; 95% CI, 0.84-0.88) rates. The percentage change metric performed poorly, with AUCs ranging from 0.51 (95% CI, 0.50-0.53) to 0.57 (95% CI, 0.55-0.59) for reported new cases, and from 0.50 (95% CI, 0.48-0.52) to 0.55 (95% CI, 0.53-0.57) for hospitalizations across the first 3 quarters of 2022. The Youden index for detecting high case rates was wastewater percentile of 51% (sensitivity, 0.82; 95% CI, 0.80-0.84; specificity, 0.93; 95% CI, 0.92-0.95). A model inclusive of both metrics performed no better than using wastewater percentile alone. The performance of wastewater percentile declined over time for cases in the second quarter (AUC, 0.84; 95% CI, 0.82-0.86) and third quarter (AUC, 0.72; 95% CI, 0.70-0.75) of 2022. CONCLUSIONS AND RELEVANCE: In this study, nationwide, county wastewater levels relative to the county maximum were associated with high COVID-19 case and hospitalization rates in the first quarter of 2022, but there was increasing dissociation between wastewater and clinical metrics in subsequent quarters, which may reflect increasing underreporting of cases, reduced testing, and possibly lower virulence of infection due to vaccines and treatments. This study offers a strategy to operationalize county wastewater percentile to improve the accurate assessment of community SARS-CoV-2 infection prevalence when reliability of conventional surveillance data is declining. |
format | Online Article Text |
id | pubmed-10372707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-103727072023-07-28 Use of Wastewater Metrics to Track COVID-19 in the US Varkila, Meri R. J. Montez-Rath, Maria E. Salomon, Joshua A. Yu, Xue Block, Geoffrey A. Owens, Douglas K. Chertow, Glenn M. Parsonnet, Julie Anand, Shuchi JAMA Netw Open Original Investigation IMPORTANCE: Widespread use of at-home COVID-19 tests hampers determination of community COVID-19 incidence. OBJECTIVE: To examine the association of county-level wastewater metrics with high case and hospitalization rates nationwide both before and after widespread use of at-home tests. DESIGN, SETTING, AND PARTICIPANTS: This observational cohort study with a time series analysis was conducted from January to September 2022 in 268 US counties in 22 states participating in the US Centers for Disease Control and Prevention’s National Wastewater Surveillance System. Participants included the populations of those US counties. EXPOSURES: County level of circulating SARS-CoV-2 as determined by metrics based on viral wastewater concentration relative to the county maximum (ie, wastewater percentile) and 15-day percentage change in SARS-CoV-2 (ie, percentage change). MAIN OUTCOMES AND MEASURES: High county incidence of COVID-19 as evidenced by dichotomized reported cases (current cases ≥200 per 100 000 population) and hospitalization (≥10 per 100 000 population lagged by 2 weeks) rates, stratified by calendar quarter. RESULTS: In the first quarter of 2022, use of the wastewater percentile detected high reported case (area under the curve [AUC], 0.95; 95% CI, 0.94-0.96) and hospitalization (AUC, 0.86; 95% CI, 0.84-0.88) rates. The percentage change metric performed poorly, with AUCs ranging from 0.51 (95% CI, 0.50-0.53) to 0.57 (95% CI, 0.55-0.59) for reported new cases, and from 0.50 (95% CI, 0.48-0.52) to 0.55 (95% CI, 0.53-0.57) for hospitalizations across the first 3 quarters of 2022. The Youden index for detecting high case rates was wastewater percentile of 51% (sensitivity, 0.82; 95% CI, 0.80-0.84; specificity, 0.93; 95% CI, 0.92-0.95). A model inclusive of both metrics performed no better than using wastewater percentile alone. The performance of wastewater percentile declined over time for cases in the second quarter (AUC, 0.84; 95% CI, 0.82-0.86) and third quarter (AUC, 0.72; 95% CI, 0.70-0.75) of 2022. CONCLUSIONS AND RELEVANCE: In this study, nationwide, county wastewater levels relative to the county maximum were associated with high COVID-19 case and hospitalization rates in the first quarter of 2022, but there was increasing dissociation between wastewater and clinical metrics in subsequent quarters, which may reflect increasing underreporting of cases, reduced testing, and possibly lower virulence of infection due to vaccines and treatments. This study offers a strategy to operationalize county wastewater percentile to improve the accurate assessment of community SARS-CoV-2 infection prevalence when reliability of conventional surveillance data is declining. American Medical Association 2023-07-26 /pmc/articles/PMC10372707/ /pubmed/37494040 http://dx.doi.org/10.1001/jamanetworkopen.2023.25591 Text en Copyright 2023 Varkila MRJ et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Varkila, Meri R. J. Montez-Rath, Maria E. Salomon, Joshua A. Yu, Xue Block, Geoffrey A. Owens, Douglas K. Chertow, Glenn M. Parsonnet, Julie Anand, Shuchi Use of Wastewater Metrics to Track COVID-19 in the US |
title | Use of Wastewater Metrics to Track COVID-19 in the US |
title_full | Use of Wastewater Metrics to Track COVID-19 in the US |
title_fullStr | Use of Wastewater Metrics to Track COVID-19 in the US |
title_full_unstemmed | Use of Wastewater Metrics to Track COVID-19 in the US |
title_short | Use of Wastewater Metrics to Track COVID-19 in the US |
title_sort | use of wastewater metrics to track covid-19 in the us |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372707/ https://www.ncbi.nlm.nih.gov/pubmed/37494040 http://dx.doi.org/10.1001/jamanetworkopen.2023.25591 |
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