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Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina.
Giraud-Billoud, Maximiliano; Cuervo, Paula; Altamirano, Jorgelina C; Pizarro, Marcela; Aranibar, Julieta N; Catapano, Adolfo; Cuello, Héctor; Masachessi, Gisela; Vega, Israel A.
  • Giraud-Billoud M; IHEM, Universidad Nacional de Cuyo, CONICET, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Villa Mercedes, Escuela de Ciencias de la Salud-Medi
  • Cuervo P; Universidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina.
  • Altamirano JC; Universidad Nacional de Cuyo, Facultad de Ciencias Exactas y Naturales, Casilla de Correo 33, 5500 Mendoza, Argentina; IANIGLA, CONICET, Universidad Nacional de Cuyo, Casilla de Correo 330, Mendoza, Argentina.
  • Pizarro M; Universidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina.
  • Aranibar JN; Universidad Nacional de Cuyo, Facultad de Ciencias Exactas y Naturales, Casilla de Correo 33, 5500 Mendoza, Argentina; IANIGLA, CONICET, Universidad Nacional de Cuyo, Casilla de Correo 330, Mendoza, Argentina.
  • Catapano A; Agua y Saneamientos de Mendoza S. A., Mendoza, Argentina.
  • Cuello H; Laboratorio de Virología, Hospital Central de Mendoza, Argentina.
  • Masachessi G; Instituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n. Ciudad Universitaria, CP, 5000 Córdoba, Argentina.
  • Vega IA; IHEM, Universidad Nacional de Cuyo, CONICET, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Cuyo, Facultad de Ciencias Exactas y Naturales, Casi
Sci Total Environ ; 796: 148887, 2021 Nov 20.
Article in English | MEDLINE | ID: covidwho-1301004
ABSTRACT
Wastewater-based epidemiology (WBE) is an emerging tool that gives temporal and spatial information on a population's health status. Here, we report the epidemiological dynamics of a population of ~1.2 million residents in the metropolitan region of Mendoza province, Argentina, within the period July 2020 to January 2021. We combined the use of WBE of two wastewater treatment plants with epidemiological surveillance of the corresponding populations. We applied two viral concentration methods (polyethylene glycol precipitation and aluminum-based adsorption-flocculation) and RNA isolation methods in each wastewater sample to increase the possibility of detection and quantification of nucleocapsid markers (N1 and N2) of SARS-CoV-2 by RT-qPCR. Overall, our results allowed us to trace the rise, exponential growth, plateau, and fall of SARS-CoV-2 infections for 26 weeks. Individual analysis for each wastewater treatment plant showed a positive correlation between the viral load of SARS-CoV-2 genetic markers and COVID-19 cases that were diagnosed per week. Our findings indicate that WBE is a useful epidemiological indicator to anticipate the increase in COVID-19 cases and monitor the advance of the pandemic and different waves of infections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: South America / Argentina Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: South America / Argentina Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article