A study of growth of COVID-19 with super-spreaders using the modified SIR model including iceberg phenomenon

Gurpreet Singh Tuteja; Tapshi Lal

doi:10.46481/jnsps.2024.1828

Authors

Gurpreet Singh Tuteja Zakir Husain Delhi College, University of Delhi, Delhi, India
Tapshi Lal
tapshisingh@ymail.com
Satyawati College, University of Delhi, Delhi, India

Keywords:

SIR model, COVID-19, Super-spreaders, Super Spreading Event, Iceberg phenomenon in epidemiology, Basic reproduction number

Abstract

This paper explores the dynamics of COVID-19 transmission, particularly focusing on super-spreaders, through the lens of the SIR model. The model comprises six compartments representing susceptible, exposed, symptomatic infected, super-spreader, asymptomatic infected, and recovered individuals. Utilizing a set of non-linear, interdependent differential equations, we numerically solve for model parameters to examine the influence of super-spreaders on infection spread within the population. We calculate the basic reproduction number (R₀) and discuss the stability of disease-free equilibrium. Our findings underscore the significant role played by super-spreaders and asymptomatic individuals in disease dissemination. Drawing on the epidemiological concept of the iceberg phenomenon, we offer insights into super-spreader events (SSEs) in India and their ramifications.

Dimensions

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