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Modeling the number of people infected with SARS-COV-2 from wastewater viral load in Northwest Spain.

Authors :
Vallejo JA
Trigo-Tasende N
Rumbo-Feal S
Conde-Pérez K
López-Oriona Á
Barbeito I
Vaamonde M
Tarrío-Saavedra J
Reif R
Ladra S
Rodiño-Janeiro BK
Nasser-Ali M
Cid Á
Veiga M
Acevedo A
Lamora C
Bou G
Cao R
Poza M
Source :
The Science of the total environment [Sci Total Environ] 2022 Mar 10; Vol. 811, pp. 152334. Date of Electronic Publication: 2021 Dec 16.
Publication Year :
2022

Abstract

The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID-19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW Spain), where wastewater from a treatment plant was analyzed to track the epidemic dynamics in a population of 369,098 inhabitants. Viral load detected in the wastewater and the epidemiological data from A Coruña health system served as main sources for statistical models developing. Regression models described here allowed us to estimate the number of infected people (R <superscript>2</superscript>  = 0.9), including symptomatic and asymptomatic individuals. These models have helped to understand the real magnitude of the epidemic in a population at any given time and have been used as an effective early warning tool for predicting outbreaks in A Coruña municipality. The methodology of the present work could be used to develop a similar wastewater-based epidemiological model to track the evolution of the COVID-19 epidemic anywhere in the world where centralized water-based sanitation systems exist.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-1026
Volume :
811
Database :
MEDLINE
Journal :
The Science of the total environment
Publication Type :
Academic Journal
Accession number :
34921882
Full Text :
https://doi.org/10.1016/j.scitotenv.2021.152334