Wastewater-based epidemiology as a useful tool to track SARS-CoV-2 and support public health policies at municipal level in Brazil

WATER RESEARCH

卷:191

Article

Prado, Tatiana¹  Fumian, Tulio Machado¹  Mannarino, Camille Ferreira²  Resende, Paola Cristina³  Motta, Fernando Couto³  Fontes Eppinghaus, Ana Lucia⁵  Chagas do Vale, Vitor Hugo⁴  Soares Braz, Ricardo Marinho⁴  Ribeiro de Andrade, Juliana da Silva¹  Maranhao, Adriana Goncalves¹  Miagostovich, Marize Pereira¹ 

[1] Fundacao Oswaldo Cruz, Oswaldo Cruz Inst, Lab Comparat & Environm Virol, Av Brasil 4365, BR-21040360 Rio De Janeiro, Brazil

[2] Fundacao Oswaldo Cruz, Sergio Arouca Natl Sch Publ Hlth, Av Brasil 4365, BR-21040360 Rio De Janeiro, Brazil

[3] Fundacao Oswaldo Cruz, Oswaldo Cruz Inst, Lab Resp Virus & Measles, Av Brasil 4365, BR-21040360 Rio De Janeiro, Brazil

[4] Prefeitura Niteroi, Sistema Gestao Geoinformacao SIGeo, Rua Visconde de Sepetiba 987, BR-24020206 Niteroi, RJ, Brazil

[5] Prefeitura Niteroi, Secretaria Municipal Saude, Coordenacao Vigilancia Epidemiol, Rua Visconde de Sepetiba 987, BR-24020206 Niteroi, RJ, Brazil

关键词: COVID-19;    Public health policies;    SARS-CoV-2;    Wastewater-based epidemiology;    Whole-genome sequencing;   

DOI  :  10.1016/j.watres.2021.116810

来源: Elsevier

【 摘 要 】

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) wastewater-based epidemiology (WBE) has been applied as a complementary approach for spatial tracking of coronavirus disease 2019 cases (COVID-19) as well as early warning of the occurrence of infected populations. The present study presents the result of the monitoring of sanitary sewerage in the municipality of Niteroi, a metropolitan region of Rio de Janeiro (Brazil) and its use as a complementary indicator in the surveillance of COVID19 cases, thus assisting actions of public health from local authorities. Twelve composite raw sewage samples were weekly collected from two wastewater treatment plants (WWTPs) and alternately from 17 sewer pipes (SP) from surrounding neighbourhoods and slums throughout 20 weeks (April 15th to August 25th, 2020). Two hundred twenty-three samples were concentrated using the ultracentrifugation-based method and SARS-CoV-2 RNA detected and quantified by RT-qPCR using primers and probe targeting the N2 genome. SARS-CoV-2 RNA was detected in 84.3% (188/223) of samples with a positive rate ranging from 42% (5/12) in the first week of monitoring to 100% during the peak of epidemic with viral concentration ranging from 3.1 to 7.1 log 10 genome copies /100 mL throughout the studied period. Positive rates were higher in WWTPs when compared to SP, being useful tool for monitoring trends in the evolution of the COVID-19 curve, while SP data were more effective when health public interventions were needed. Whole-genome sequencing using Illumina MiSeq System confirmed the lineage of three genomes as B.1.1.33 (clade G) containing the nucleotide substitutions observed in strains that circulate in the Rio de Janeiro during the period of this study. In addition, geoprocessing tool was used to build heat maps based on SARS-CoV-2 data from sewage samples, which were weekly updated and available online to the general population as an indicator of the ongoing epidemic situation in Niteroi city, raising public awareness. (C) 2021 Elsevier Ltd. All rights reserved.

【 授权许可】

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