×

img Acces sibility Controls

Research Projects Banner

Research Projects

Development of neural network models by innovatively expanding conventional WBE dataset for the monitoring of variability of COVID-19, variants of SARS-CoV-2, and antidrug resistance in four major cities of India

Implementing Organization

University of Petroleum and Energy Studies
Principal Investigator
Dr. Manish Kumar
University of Petroleum and Energy Studies
CO-Principal Investigator
Dr. Madhvi Nandlal Joshi
Gujarat Biotechnology Research Centre (GBRC), Gandhinagar, Gujarat-382011
CO-Principal Investigator
Dr. Bhumika Jayantkumar Prajapati
Gujarat Biotechnology Research Centre (GBRC), Gandhinagar, Gujarat-382011
CO-Principal Investigator
Dr. Vaibhav Srivastava
University of Petroleum and Energy Studies

About

The global COVID-19 pandemic, caused by SARS-CoV-2 infection, has spread in 216 countries and territories, with over 423 million confirmed cases and 5,878,328 deaths as of February 20, 2022. A significant portion of infections are undiagnosed, with about half being asymptomatic. Wastewater-based genomic epidemiology (WBGE) is an effective approach for early warning of outbreaks and quarantine of undiagnosed infections. The emergence of new variants with higher infectivity has increased the threat of COVID-19. Detection of SARS-CoV-2 variants in wastewater samples is a promising strategy for control. WBGE aims to detect and quantify SARS-CoV-2 genetic material in urban waters of Gandhinagar, Ahmedabad, Dehradun, and Delhi, develop an online portal with weekly genome concentration updates, predict the risk of SARS-CoV-2 in natural water bodies using a quantitative microbial risk assessment (QMRA) approach, identify new circulating SARS-CoV-2 variants in wastewater via genome sequencing, analyze the comparative status of antidrug resistance in E. coli isolated from urban waters, and assist authorities and policymakers in developing and improving COVID-19 surveillance to gain a clear picture of the pandemic.

Patents

0

Outcome / Output

0

Source

Source
Science and Engineering Research Board (SERB), DST 2022-23
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Start Year
2022
End Year
2023
Sanction Amount
₹ 42.86 L
Status
Completed
Contact
manish.env@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
No. of Patents
Filed : 00
Grant : 00
arrowtop