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Modelling and prediction of COVID-19 outbreak: Analysing possible effects of lockdown, testing and urbanicity

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr Minerva Mukhopadhyay
Assistant Professor
|
Indian Institute of Technology (IIT)

About

This study aims to investigate the transmission mechanism of COVID-19 in India at both the national and state levels, with an analysis on possible effects of various measures, such as testing facility, urban connectivity, age, sex, temperature, etc.

Patents

NA

Achievements

NA

Outcome / Output

Developed model to study the spread of COVID-19 by branching process. However, it requires an estimate of the number of asymptomatic patients. After an extensive literature survey, no reliable method of estimating the number of asymptomatic patients from the reported cases, were obtained. The usual trend is to apply grid search to get the best fitting parameters, and estimate the asymptomatic population accordingly. Further, the model considers the number of asymptomatic population as a part of the data, obtaining the same by maximising the model would lead to double usage of data, which is statistically prohibitive. Therefore, it is estimated that the number of asymptomatic patients from an independent compartmental model using metadata only.

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
minervamukherjee@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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