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ISSN 2063-5346
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MODELING AND ANALYSIS OF MEDIA INFLUENCE OF INFORMATION DIFFUSION ON THE SPREAD OF CORONA VIRUS PANDEMIC DISEASE (COVID-19)

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Fekadu Tadege Kobe, Lipon Chandra Das, A. S. M. Mohiul Islam, Anisul Islam, Sujit Kumar Roy
» doi: 10.53555/ecb/2024.13.01.38

Abstract

The article presents a deterministic mathematical model to analyze the impact of media outreach influence of information diffusion on the spread of the COVID-19 pandemic disease. The model consists of seven non-linear differential equations that describe the impact of awareness programs on the spread of COVID-19. Pandemic diseases such as influenza have been proposed and analyzed in the context of the impact of awareness programs on the spread of the respective diseases. The growth rate of educational efforts is proportional to the number of infected individuals, and susceptible individuals form a separate class, influenced by their environment, avoid contact with infectious ones. The stability theory of differential equations is employed to analyze the model. It reveals that while awareness programs control COVID-19 spread, immigration sustains its pandemic status. Models were qualitatively analyzed to determine criteria for controlling the spread of COVID-19 and to calculate baseline reproduction and equilibrium. However, a stable disease-free equilibrium coexists with a stable endemic equilibrium within a specific range of associated reproduction numbers below one. The analysis and modeling results propose that the most effective strategies for controlling or eradicating the COVID-19 pandemic involve utilizing information diffusion and media-influenced awareness programs. These approaches prove beneficial in reducing disease spread by effectively separating susceptible individuals from infectious ones.

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