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Sewage monitoring as a surveillance epidemiological tool for COVID-19 control: a case study in the city of Belo Horizonte

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DataCite Commons2022-05-30 更新2024-08-18 收录
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https://scielo.figshare.com/articles/dataset/Sewage_monitoring_as_a_surveillance_epidemiological_tool_for_COVID-19_control_a_case_study_in_the_city_of_Belo_Horizonte/19923712/1
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ABSTRACT The recent detection of SARS-CoV-2 RNA in stool and sewage samples highlights the possibility of mapping the circulation of the virus and even estimating the number of infected people through the systematic monitoring of sewage in a specific region. Therefore, this is an important epidemiological tool for large-scale indirect testing, including symptomatic and asymptomatic carriers. This project was conceived for the detection and quantification of the SARS-CoV-2 in sewage samples collected in 15 watersheds of the Arrudas and Onça streams, aiming to understand the dynamics of spread and the prevalence of the virus in these regions/watersheds. These sub-basins exhaust the effluents generated by a population of approximately 1.5 million people in the municipality of Belo Horizonte and part of Contagem. Weekly composite samples were collected during the morning periods in seventeen monitoring points (15 water sheds + influent to 2 sewage treatment plants). RNA detection and quantification were performed in the laboratory using RT-qPCR. The results obtained in four weeks of monitoring (epidemiological weeks 21 to 24) showed an increase in the occurrence of the virus, reaching 100% of the monitored regions investigated in epidemiological week 24. The infected population, estimated by sewage monitoring in Belo Horizonte, showed exponential growth, being up to 20 times higher than those of accumulated confirmed cases. As for the dynamics of virus spread, RNA concentrations have shown to be quite variable in the monitored regions with higher percentages of the estimated infected population in the northern and north-eastern portions of Belo Horizonte.
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SciELO journals
创建时间:
2022-05-30
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