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Modelling COVID-19 to study the impact of various societal factors on the control of pandemic

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr Nitu Kumari
Associate Professor
|
Indian Institute of Technology (IIT)

About

This study aims to investigate the extent to which an epidemic can invade a population can be determined using its basic reproduction number (BRN), R0. Prediction of the growth of infections in a region, calculation of the rate of growth of COVID-19 and effective measures for the officials to reduce the invasive wave of pandemic will be addressed. The sensitive parameters involved in the exponential spread of the COVID-19 pandemic will be investigated. The most efficient measures to quickly suppress the disease spread in newly affected countries will be studied. Various societal factors on the spread of the pandemic will be investigated. How a complete or a partial lockdown in the country affects the spread of the pandemic will be studied. In this study, the understanding of COVID-19 using mathematical modelling approach will be contributed.

Patents

NA

Achievements

NA

Outcome / Output

The findings have provided a mathematical perspective to the current pandemic that the whole world is facing.

Publications

NA
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
Focus Area
Mathematical modelling for COVID-19
Start Year
2020
Sanction Amount
₹ NA
Status
Ongoing
Contact
nituism27@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
NA
No. of Patents
Filed : 00
Grant : 00
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