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Reflections of COVID-19 cases on the wastewater loading of SARS-CoV-2 RNA: A case of three major cities of Gujarat, India
Vaibhav Srivastava; Shilangi Gupta; Arbind Patel; Madhvi Joshi; Manish Kumar.
Afiliação
  • Vaibhav Srivastava; Indian Institute of Technology Gandhinagar
  • Shilangi Gupta; Indian Institute of Technology Gandhinagar
  • Arbind Patel; Indian Institute of Technology Gandhinagar
  • Madhvi Joshi; GBRC
  • Manish Kumar; Indian Institute of Technology Gandhinagar
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21254861
ABSTRACT
The scientific community has widely supported wastewater monitoring of SARS-CoV-2 due to the early and prolonged excretion of coronavirus in the faecal matter. In the present study, eighteen influent wastewater samples from different wastewater treatment plants and pumping stations (5 samples from Vadodara city, 4 from Gandhinagar, and nine from Ahmedabad city) were collected and analyzed for the occurrence of SARS-CoV-2 RNA in Gujarat province, India. The results showed the highest SARS-CoV-2 genome concentration in Vadodara (3078 copies/ L), followed by Ahmedabad (2968 copies/ L) and Gandhinagar (354 copies/ L). The comparison of genome concentration more or less corresponded to the number of confirmed and active cases in all three cities. The study confirms the potential of the Surveillance of Wastewater for Early Epidemic Prediction (SWEEP) that can be used at a large scale around the globe for better dealing with the pandemic situation. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/21254861v1_ufig1.gif" ALT="Figure 1"> View larger version (39K) org.highwire.dtl.DTLVardef@142ae8aorg.highwire.dtl.DTLVardef@d10157org.highwire.dtl.DTLVardef@1af0dbdorg.highwire.dtl.DTLVardef@1af1b23_HPS_FORMAT_FIGEXP M_FIG C_FIG
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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