EPIDEMIC MODELS AND PREDICTION OF HERD IMMUNITY AGAINST COVID-19
Authors: Shishir Kumar Jha

ABSTRACT
Destructions due to COVID-19 pandemic have been widespread affecting each and every segment of the society globally. The spreading process of the disease is difficult to understand without the correct structure of a mathematical framework. The conventional epidemic models are based on assumptions that appear unrealistic in the case of analysing the impact of SARS-CoV-2 virus. Asymptomatic infected persons have been found to be super spreader in the case of COVID-19 epidemic. In this study an effort has been made to construct modified SIS and SIR epidemic models to accommodate such cases. Achieving herd immunity to get rid of the epidemic is difficult to realize because of slow pace of vaccination. Minimum proportion of immune population to arrive at herd immunity has been estimated under different assumptions on average age of attack of the disease. Keywords: Herd immunity, Infective, SARS-CoV-2, SIR model, Susceptible
Publication date: 01/12/2021
    https://ijbpas.com/pdf/2021/December/MS_IJBPAS_2021_DEC_SPCL_2041.pdf
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https://doi.org/10.31032/IJBPAS/2021/10.12.2041