Wastewater monitoring of SARS-CoV-2 gene for COVID-19 epidemiological surveillance in Tucumán, Argentina.
Autor: | D'Arpino MC; Laboratory of Molecular and Ultraestructural Microbiology, Centro Integral de Microscopía Electrónica, (CIME-UNT-CONICET), Facultad de Agronomía, Zootecnia y Veterinaria, Universidad Nacional de Tucumán, Tucumán, Argentina., Sineli PE; Planta Piloto de Procesos Industriales Microbiológicos (PROIMI-CONICET), Tucumán, Argentina., Goroso G; Laboratorio de Processamento de Sinais e Modelagem de Sistemas Biológicos. Núcleo de Pesquisas Tecnológicas, Universidade Mogi das Cruzes, Sao Paulo, Brasil., Watanabe W; Laboratorio de Processamento de Sinais e Modelagem de Sistemas Biológicos. Núcleo de Pesquisas Tecnológicas, Universidade Mogi das Cruzes, Sao Paulo, Brasil., Saavedra ML; Centro de Referencia para Lactobacilos (CERELA-CONICET), Tucumán, Argentina., Hebert EM; Centro de Referencia para Lactobacilos (CERELA-CONICET), Tucumán, Argentina., Martínez MA; Planta Piloto de Procesos Industriales Microbiológicos (PROIMI-CONICET), Tucumán, Argentina., Migliavacca J; Ministerio de Salud, Gobierno de Tucumán (SIPROSA), Tucumán, Argentina., Gerstenfeld S; Ministerio de Salud, Gobierno de Tucumán (SIPROSA), Tucumán, Argentina., Chahla RE; Ministerio de Salud, Gobierno de Tucumán (SIPROSA), Tucumán, Argentina., Bellomio A; Instituto Superior de Investigaciones Biológicas (INSIBIO, CONICET-Universidad Nacional de Tucumán), Tucumán, Argentina., Albarracín VH; Laboratory of Molecular and Ultraestructural Microbiology, Centro Integral de Microscopía Electrónica, (CIME-UNT-CONICET), Facultad de Agronomía, Zootecnia y Veterinaria, Universidad Nacional de Tucumán, Tucumán, Argentina.; Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional Tucumán, Tucumán, Argentina. |
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Jazyk: | angličtina |
Zdroj: | Journal of basic microbiology [J Basic Microbiol] 2024 Aug; Vol. 64 (8), pp. e2300773. Date of Electronic Publication: 2024 May 07. |
DOI: | 10.1002/jobm.202300773 |
Abstrakt: | Wastewater-based epidemiology provides temporal and spatial information about the health status of a population. The objective of this study was to analyze and report the epidemiological dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the province of Tucumán, Argentina during the second and third waves of coronavirus disease 2019 (COVID-19) between April 2021 and March 2022. The study aimed to quantify SARS-CoV-2 RNA in wastewater, correlating it with clinically reported COVID-19 cases. Wastewater samples (n = 72) were collected from 16 sampling points located in three cities of Tucumán (San Miguel de Tucumán, Yerba Buena y Banda del Río Salí). Detection of viral nucleocapsid markers (N1 gene) was carried out using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Viral loads were determined for each positive sample using a standard curve. A positive correlation (p < 0.05) was observed between viral load (copies/mL) and the clinically confirmed COVID-19 cases reported at specific sampling points in San Miguel de Tucumán (SP4, SP7, and SP8) in both months, May and June. Indeed, the high viral load concurred with the peaks of COVID-19 cases. This method allowed us to follow the behavior of SARS-CoV-2 infection during epidemic outbreaks. Thus, wastewater monitoring is a valuable epidemiological indicator that enables the anticipation of increases in COVID-19 cases and tracking the progress of the pandemic. SARS-CoV-2 genome-based surveillance should be implemented as a routine practice to prepare for any future surge in infections. (© 2024 Wiley‐VCH GmbH.) |
Databáze: | MEDLINE |
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