Research

Mathematical Sciences

Title :

Bayesian individual-level modelling of the spread of COVID-19 pandemic

Area of research :

COVID-19 Research, Life Sciences & Biotechnology, Mathematical Sciences

Focus area :

COVID-19 Transmission model

Principal Investigator :

Prof Sharvari Rahul Shukla, SYMBIOSIS International University (SIU), Pune

Timeline Start Year :

2020

Timeline End Year :

2020

Contact info :

Details

Executive Summary :

In this study, the individual-level modelling of the COVID-19 pandemic is proposed to be applied in a large population of India.

Outcome/Output:

Presented a Bayesian algorithm with the code to predict number of infected, recovered and death cases due to COVID-19 in the Indian population. The algorithm has shown to run at different time intervals and at different geographical locations.

Organizations involved