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Study of the sewage from a municipality in southern Minas Gerais, Brazil: correlation of physical and chemical variables, COVID-19 cases, and SARS-CoV-2 RNA concentration

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DataCite Commons2022-12-06 更新2024-07-29 收录
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https://scielo.figshare.com/articles/dataset/Study_of_the_sewage_from_a_municipality_in_southern_Minas_Gerais_Brazil_correlation_of_physical_and_chemical_variables_COVID-19_cases_and_SARS-CoV-2_RNA_concentration/21431365/1
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ABSTRACT Wastewater-based epidemiology is an important public health tool with great applicability when facing the COVID-19 pandemic, since infected individuals are able to excrete SARS-CoV-2 particles. In this context, this study aimed to correlate the number of cases of COVID-19 with physical and chemical variables and the presence of the virus in raw sewage samples from a sewage treatment plant (STP) in the municipality of Lavras, Minas Gerais, Brazil, collected between the 19th and 25th epidemiological weeks. The samples were concentrated by electronegative membrane adsorption method and SARS-CoV-2 RNA was extracted, detected, and quantified by RT-qPCR using oligonucleotides and probes for the N gene. Moreover, the variables pH, total suspended solids, and chemical oxygen demand were evaluated. COVID-19 cases were obtained from epidemiological bulletins made available by the municipal government. From the 24th epidemiological week on, a reduction in viral concentration (copies L-1) was observed concomitantly with the pandemic response countermeasures initiated by the municipality. A strong and significant positive correlation (p<0.05) between viral load and number of confirmed cases was obtained through Spearman’s test. However, there was no correlation between the presence of the virus and the physical and chemical characteristics of the sewage. Therefore, it is suggested that further research be carried out in order to track SARS-CoV-2 concentrations in wastewater, thus corroborating with the fight against the pandemic and the achievement of epidemiological surveillance systems based on sewage monitoring.
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SciELO journals
创建时间:
2022-10-29
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