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Adapting the standard SIR model for COVID-19 and effects of climate and lockdowns on infectious spread of SARS-CoV-2

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr M Michael Gromiha
Professor
|
Indian Institute of Technology (IIT)

About

In this work, a mathematical model is developed to estimate the impact of SARS-CoV-2. Based on climatic conditions, the countries will be clustered and the difference in model parameters will be studied. The study aims to gauge the effectiveness of lockdown measures using the model.

Patents

NA

Achievements

NA

Outcome / Output

The fitted hybrid SEIQR model for Indian population highlights the influence of lockdown-imposed restrictions and regulations on COVID-19 disease transmission. The model also indicates that the number of unidentified COVID-19 recovered individuals is greater than the identified individuals. Disordered-to-order transition of residues in spike protein upon ACE2 binding is shown to be important for tackling COVID-19 The interaction energy and interface area of SARS-Cov-2 is higher than the mild strain, NL63.

Publications

NA

Related Research

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Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
Focus Area
COVID-19 Management
Start Year
2020
Sanction Amount
₹ NA
Status
Ongoing
Contact
gromiha@iitm.ac.in
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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