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SARS-CoV-2 surveillance in US wastewater: Leading indicators and data variability analysis in 2023-2024. | LitMetric

SARS-CoV-2 surveillance in US wastewater: Leading indicators and data variability analysis in 2023-2024.

PLoS One

Department of Civil & Environmental Engineering, School of Engineering and Doerr School of Sustainability, Stanford University, Stanford, CA, United States of America.

Published: November 2024

AI Article Synopsis

Article Abstract

Wastewater-Based Epidemiology (WBE) has become a powerful tool for assessing disease occurrence in communities. This study investigates the coronavirus disease 2019 (COVID-19) epidemic in the United States during 2023-2024 using wastewater data from 189 wastewater treatment plants in 40 states and the District of Columbia. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and pepper-mild mottle virus normalized SARS-CoV-2 RNA concentration data were compared with COVID-19 hospitalization admission data at both national and state levels. We further investigate temporal features in wastewater viral RNA abundance, with peak timing and cross-correlation lag analyses indicating that wastewater SARS-CoV-2 RNA concentrations precede hospitalization admissions by 2 to 12 days. Lastly, we demonstrate that wastewater treatment plant size has a significant effect on the variability of measured SARS-CoV-2 RNA concentrations. This study highlights the effectiveness of WBE as a non-invasive, timely and resource-efficient disease monitoring strategy, especially in the context of declining COVID-19 clinical reporting.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573121PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0313927PLOS

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