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.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2021/10.12.2041