Alladi Ramakrishnan Hall

Epidemic model with time varying parameter and Immuno-epidemiological model

Malay Banerjee

Department of Mathematics and Statistics, IIT Kanpur

A wide range of mathematical models is available to study the epidemic progression of SARS-CoV-2. Variation in the period of infectivity, the time required for recovery, and days spent at the hospital during the disease severity vary significantly from one patient to another. The main objective of this talk is to discuss a new modeling approach for the COVID-19 epidemic, which involves distributed recovery and death rates and the variable infectivity based upon the immunity level of the individuals. The infection transmissibility rate depends upon the immune response's strength and antibody level due to vaccination and acquired immunity. The proposed model helps to evaluate the COVID-19 epidemic situation in some countries.