Modeling the Impact of Media Coverage on the Spread of Infectious Diseases: The Curse of the Twenty-First Century

Anal Chatterjee and Suchandra Ganguly
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Anal Chatterjee: Barrackpore Rastraguru Surendranath College, Department of Mathematics
Suchandra Ganguly: University College of Nursing, JNMH, Clinical Instructor

A chapter in Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, 2023, pp 153-169 from Springer

Abstract: Abstract Public health information from the media is essential for preventing the spread of certain infectious diseases. People become aware of progressively emerging infectious diseases mainly due to the information shared on the Internet and television, which also changes their behavior to promote awareness. In order to examine the effect of television and the smartphone on spreading infectious disease awareness, we have built a nonlinear mathematical model in this present work. The model only considers infectious modes of disease transmission. The model further considers that the susceptible aware class is affected by media attention in halting the disease’s spread. It is considered that the knowledge spread through television and the smartphone is based on the population density of infected people. By examining the model, various equilibria and their stability are addressed. The basic reproduction number is directly derived in the presence of media. The model demonstrates a significant relationship between disease transmission and media campaigns by TV and smartphones. Here, we take into account how a population may change due to immigration during an outbreak. Numerical simulations back up the system’s analytical findings.

Keywords: Epidemiological model; Media; Awareness; Basic reproduction number; Stability; Bifurcation (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-33050-6_9

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DOI: 10.1007/978-3-031-33050-6_9

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