An Interdisciplinary Model-Based Study on Emerging Infectious Disease: The Curse of Twenty-First Century

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

A chapter in Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models, 2022, pp 353-365 from Springer

Abstract: Abstract In this article, we present a epidemiological model to analyze the impact of the emerging disease COVID-19. When an infectious disease like coronavirus suddenly emerges out of the blue, little is known about it. As time passes we get equipped with better information and knowledge. Some of the common tactics generally adopted to fight off the disease include awareness, isolation, lockdown, treatment and vaccination. Media also plays a pivotal role in spreading these information to general population. Here, we consider a changing population with immigration during an outbreak. We apply some of the above said measures to the population and study the effect of them in combating the disease. The effect of media is also examined. Both analytical and numerical simulations help us in establishing our findings.

Keywords: COVID-19; Media; Epidemiological Model; Stability; Hopf-bifurcation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-12515-7_19

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DOI: 10.1007/978-3-031-12515-7_19

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