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

被引:0
|
作者
Schenk, Hannes [1 ,2 ,3 ]
Rauch, Wolfgang [3 ]
Zulli, Alessandro [1 ,2 ]
Boehm, Alexandria B. [1 ,2 ]
机构
[1] Stanford Univ, Sch Engn, Dept Civil & Environm Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Doerr Sch Sustainabil, Stanford, CA 94305 USA
[3] Univ Innsbruck, Unit Environm Engn, Innsbruck, Austria
来源
PLOS ONE | 2024年 / 19卷 / 11期
关键词
TREATMENT PLANTS; SETTLED SOLIDS; COVID-19; RNA;
D O I
10.1371/journal.pone.0313927
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:13
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