Successful application of wastewater-based epidemiology in prediction and monitoring of the second wave of COVID-19 with fragmented sewerage systems-a case study of Jaipur (India).
COVID-19
Hotspot prediction
RT-qPCR
SARS-CoV-2
Wastewater treatment plants
Wastewater-based epidemiology
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
07 Apr 2022
07 Apr 2022
Historique:
received:
15
11
2021
accepted:
12
03
2022
entrez:
7
4
2022
pubmed:
8
4
2022
medline:
12
4
2022
Statut:
epublish
Résumé
The present study tracked the city-wide dynamics of severe acute respiratory syndrome-corona virus 2 ribonucleic acids (SARS-CoV-2 RNA) in the wastewater from nine different wastewater treatment plants (WWTPs) in Jaipur during the second wave of COVID-19 out-break in India. A total of 164 samples were collected weekly between February 19th and June 8th, 2021. SARS-CoV-2 was detected in 47.2% (52/110) influent samples and 37% (20/54) effluent samples. The increasing percentage of positive influent samples correlated with the city's increasing active clinical cases during the second wave of COVID-19 in Jaipur. Furthermore, wastewater-based epidemiology (WBE) evidence clearly showed early detection of about 20 days (9/9 samples reported positive on April 20th, 2021) before the maximum cases and maximum deaths reported in the city on May 8th, 2021. The present study further observed the presence of SARS-CoV-2 RNA in treated effluents at the time window of maximum active cases in the city even after tertiary disinfection treatments of ultraviolet (UV) and chlorine (Cl
Identifiants
pubmed: 35389102
doi: 10.1007/s10661-022-09942-5
pii: 10.1007/s10661-022-09942-5
pmc: PMC8987519
doi:
Substances chimiques
RNA, Viral
0
Waste Water
0
Chlorine
4R7X1O2820
RNA-Dependent RNA Polymerase
EC 2.7.7.48
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
342Subventions
Organisme : Internal Mural Grants
ID : BIBT/IRSC/IMG2020-21/036
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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