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Monitoring of SARS-CoV-2 RNA in Wastewater: A Surveillance Tool to Foresee Infection's Evolution in the Mexican Caribbean.

Laura Margarita Hernandez-Terrones,Julian Carrillo-Reyes,Jairo A. Ayala-Godoy,Eugenio Guerrero-Ruiz, Leslie Meredith Garcia Vargas, Bruno Abraham Prado-Guevara, Melissa Fernanda Rodriguez-Abraham,German Buitron

Water environment research(2023)

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Abstract
The study aims to determine SARS-CoV-2 RNA in sewage of Cancun wastewater treatment plants, the main touristic destination of Mexico, and to estimate the infected persons during the sampling period. SARS-CoV-2 RNA traces were detected in the inlet of the five plants during almost all the sampling months. However, there is no presence of SARS-CoV-2 RNA traces in the effluent of the five WWTPs during the study period. ANOVA analysis showed differences in the concentrations of RNA traces of SARS-CoV-2 between the sample dates, but no differences were found from one WWTP to another. Estimated infected individuals by Markov chain Monte Carlo simulation are higher (between 77% and 91%) than the cases reported by the health authority. Wastewater monitoring and the estimation of infected individuals are a helpful tool, because estimation provides early warning signs on how broadly SARS-CoV-2 is circulating in the city, and led to the authorities to take measures wisely. PRACTITIONER POINTS: There is no presence of SARS-CoV-2 RNA traces in the effluent of the facilities, suggesting the effectiveness of treatment. Surveillance of viral RNA concentrations at treatment plants revealed presence in the influent of five plants Estimated infected individuals by MCMC simulation are higher than cases reported by health authority Environmental surveillance approach in wastewater influent is helpful to identify the clusters and to take informed decisions.
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Key words
ANOVA,Markov chain Monte Carlo simulation,Mexican Caribbean,SARS-CoV-2,wastewater
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