4.6 Article

Long-Term Wastewater Surveillance for SARS-CoV-2: One-Year Study in Brazil

期刊

VIRUSES-BASEL
卷 14, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/v14112333

关键词

SARS-CoV-2; wastewater; qRT-PCR; epidemiology

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资金

  1. Fundacao de Amparo a Pesquisa do Estado de Sao PauloBrazil (FAPESP) [2019/07784-3]
  2. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brazil (CAPES) [88887.487494/2020-00, 8887.505878/2020-00]

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Wastewater-based epidemiology is an effective surveillance system for SARS-CoV-2, providing early-warning detection and showing correlations with environmental parameters. Monitoring wastewater may be a broadly applicable strategy for early detection of future COVID-19 outbreaks.
Wastewater-based epidemiology (WBE) is a tool involving the analysis of wastewater for chemicals and pathogens at the community level. WBE has been shown to be an effective surveillance system for SARS-CoV-2, providing an early-warning-detection system for disease prevalence in the community via the detection of genetic materials in the wastewater. In numerous nation-states, studies have indicated the presence of SARS-CoV-2 in wastewater. Herein, we report the primary time-course monitoring of SARS-CoV-2 RNA in wastewater samples in Sao Jose do Rio Preto-SP/Brazil in order to explain the dynamics of the presence of SARS-CoV-2 RNA during one year of the SARS-CoV-2 pandemic and analyze possible relationships with other environmental parameters. We performed RNA quantification of SARS-CoV-2 by RT-qPCR using N1 and N2 targets. The proportion of positive samples for every target resulted in 100% and 96.6% for N1 and N2, respectively. A mean lag of -5 days is observed between the wastewater signal and the new SARS-CoV-2-positive cases reported. A correlation was found between the air and wastewater temperatures and therefore between the SARS-CoV-2 viral titers for N1 and N2 targets. We also observed a correlation between SARS-CoV-2 viral titers and media wastewater flow for the N1 target. In addition, we observed higher viral genome copies within the wastewater samples collected on non-rainy days for the N1 target. Thus, we propose that, based on our results, monitoring raw wastewater may be a broadly applicable strategy that might contribute to resolving the pressing problem of insufficient diagnostic testing; it may represent an inexpensive and early-warning method for future COVID-19 outbreaks, mainly in lower- and middle-income countries.

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