"pySewage": a hybrid approach to predict the number of SARS-CoV-2-infected people from wastewater in Brazil.

ABSTRACT: It is well known that the new coronavirus pandemic has global environmental, public health, and economic implications. In this sense, this study aims to monitor SARS-CoV-2 in the largest wastewater treatment plant of Goiânia, which processes wastewater from more than 700,000 inhabitants, and to correlate the molecular and clinical data collected. Influent and effluent samples were collected at Dr. Helio de Seixo Britto's wastewater treatment plant from January to August 2021. Viral concentration was performed with polyethylene glycol before viral RNA extraction. Real-time qPCR (N1 and N2 gene assays) was performed to detect and quantify the viral RNA present in the samples. The results showed that 43.63% of the samples were positive. There is no significant difference between the detection

SUBMITTER: de Sousa ARV 

PROVIDER: S-EPMC9075719 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature