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Surveillance of SARS-CoV-2 in nine neighborhood sewersheds in Detroit Tri-County area, United States: Assessing per capita SARS-CoV-2 estimations and COVID-19 incidence by Yabing Li; Brijen Miyani; Liang Zhao; Maddie Spooner; Zach Gentry; Yangyang Zou; Geoff Rhodes; Hui Li; Andrew Kaye; John Norton; Irene Xagoraraki is a Environmental Science article available to read on EtoBox.

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Wastewater-based epidemiology (WBE) has been suggested as a useful tool to predict the emergence and investigate the extent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we screened appropriate population biomarkers for wastewater SARS-CoV-2 normalization and compared the normalized SARS-CoV-2 values across locations with different demographic characteristics in southeastern Michigan. Wastewater samples were collected between December 2020 and October 2021 from nine neighborhood sewersheds in the Detroit Tri-County area. Using reverse transcriptase droplet digital polymerase chain reaction (RT-ddPCR), concentrations of N1 and N2 genes in the studied sites were quantified, with N1 values ranging from 1.92 × 10 genomic copies/L to 6.87 × 10 gc/L and N2 values ranging from 1.91 × 10 gc/L to 6.45 × 10 gc/L. The strongest correlations were observed with between cumulative COVID-19 cases per capita (referred as COVID-19 incidences thereafter), and SARS-CoV-2 concentrations normalized by total Kjeldahl nitrogen (TKN), creatinine, 5-hydroxyindoleacetic acid (5-HIAA) and xanthine when correlating the per capita SARS-CoV-2 and COVID-19 incidences. When SARS-

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Author

Yabing Li; Brijen Miyani; Liang Zhao; Maddie Spooner; Zach Gentry; Yangyang Zou; Geoff Rhodes; Hui Li; Andrew Kaye; John Norton; Irene Xagoraraki

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Environmental Science (Physical Sciences)