Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste.
Journal
ACS ES&T water
ISSN: 2690-0637
Titre abrégé: ACS ES T Water
Pays: United States
ID NLM: 101778136
Informations de publication
Date de publication:
11 Nov 2022
11 Nov 2022
Historique:
entrez:
18
11
2022
pubmed:
19
11
2022
medline:
19
11
2022
Statut:
ppublish
Résumé
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs, we hypothesize that tracking infections can be improved by normalizing wastewater concentrations against indicators of human waste [Pepper Mild Mottle Virus (PMMoV), β-2 Microglobulin (B2M), and fecal coliform]. In this study, we analyzed SARS-CoV-2 and indicators of human waste in wastewater from two sewersheds of different scales: a University campus and a wastewater treatment plant. Wastewater data were combined with complementary COVID-19 case tracking to evaluate the efficiency of wastewater surveillance for forecasting new COVID-19 cases and, for the larger scale, hospitalizations. Results show that the normalization of SARS-CoV-2 levels by PMMoV and B2M resulted in improved correlations with COVID-19 cases for campus data using volcano second generation (V2G)-qPCR chemistry (
Identifiants
pubmed: 36398131
doi: 10.1021/acsestwater.2c00045
pmc: PMC9664448
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1992-2003Subventions
Organisme : NIAID NIH HHS
ID : P30 AI073961
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA053941
Pays : United States
Informations de copyright
© 2022 The Authors. Published by American Chemical Society.
Déclaration de conflit d'intérêts
The authors declare no competing financial interest.
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