SERB approves funding for study of mathematical & simulation aspects of COVID-19

Views: 1.1K

Science and Engineering Research Board (SERB), a statutory body under the Department of Science and Technology (DST), has approved funding for 11 projects under MATRICS scheme for studying Mathematical modelling and computational aspects to tackle the COVID-19 pandemic.

Eletsonline News

Most of these studies attempt to propose mathematical/ simulation models to account for various factors relevant to COVID-19 by modifying the basic Susceptible-Infected-Recovered (SIR) models. Some of the factors are heterogeneity of population, the role of asymptomatic population, migration and quarantine, the effect of social distancing and lockdown, socioeconomic factors and so on. These studies will be primarily aimed to study Indian conditions and will provide an estimate of Basic Reproduction Number, the qualitative indicator of the degree of contagiousness of the disease. These will be helpful to forecast future pandemic by using the data available and provide fundamental insights into the kinetics and management of infectious diseases.

The proposed studies also aim to identify the maximum likelihood infection tree when infection reports and contact network structure are known to substantially reduce the efforts of the administration by targeting a subset of manageable size. They will address the spread of the pandemic and the impact of preventive issues through a parametric prediction process with an outcome consisting of a packaged solution in the form of usable software which may be made available for ready use by the Government of India and identify possible cure of COVID-19 through the study of DNA structures by creating patterns of DNA of different viruses.

These studies of disease transmission dynamic models supported under the MATRICS Special call on COVID-19 will help to estimate parameter sets and provide control mechanisms of the spread of COVID-19 and also help the frontline health professionals and policymakers to define effective measures.

Eletsonline News

A good number of proposals had been received from across the country in the first phase under the SERB’s special call for proposal under the MATRICS scheme.

The allotted projects are the following: 


Project name

PI Name


Modelling and Forecasting of COVID-19 pandemic

Prof. Mahendra Kumar Verma

Indian Institute of Technology Kanpur

Mathematical Modelling of Transmission Dynamics of COVID-19 and its Control

Prof. Mini Ghosh

VIT University Chennai

Mathematical and Statistical Modeling of COVID-19 Outbreak in India

Prof. Siddhartha Pratim Chakrabarty

Indian Institute of Technology Guwahati

Modelling, Analysis and Prediction for SARS-CoV-2 Infections

Prof. Utpal Manna

Indian Institute of Science Education and Research, Thiruvananthapuram

Bayesian Individual-level modeling of the spread of COVID-19 Pandemic.

Prof. Sharvari Rahul Shukla

SYMBIOSIS International University

Anatomy of COVID-19 transmission dynamics: A modelling and computational approach from Indian perspective

Prof. Nandadulal Bairagi

Jadavpur University

Effects of Nonpharmaceutical Measures on COVID-19 Pandemic in India and Network-based Forecast Beyond Relaxation of Lockdown

Dr. Surajit Panja

Indian Institute of Information Technology, Guwahati

A network optimization-based prediction model for COVID 19 outbreak tree

Dr. Goutam Sen

Indian Institute of Technology Kharagpur

Optimization of lockdown, testing and isolating strategies to contain Covid-19 in India

Dr. Harshwardhan H. Katkar

Indian Institute of Technology Kanpur

Identification of possible cure of COVID-19 through study of DNA structures through Iterated Function Systems

Dr. Pratibha

Indian Institute of Technology Roorkee

Multi-cluster models for epidemic spread and evaluation based on data driven parameterization

Dr. Arzad Alam kherani

Indian Institute of Technology, Bhilai

Follow and connect with us on Facebook, Twitter, LinkedIn, Elets video

Eletsonline News

Latest News

To Top