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The objective of this work is to describe the dynamics of Coronavirus Disease 2019 (COVID-19) using a mathematical modeling approach. The rapid spread of the disease and its ongoing threat to global health underscore the urgency of understanding its transmission dynamics. COVID-19, a pandemic respiratory illness transmitted through direct or indirect contact, poses a significant public health risk. This study aims to apply a mathematical model to predict the epidemic dynamics of COVID-19, incorporating the role of pathogens in the environment and the effects of interventions. The next-generation matrix approach was used to determine the basic reproduction number \(R_0\) . Stability analysis of the equilibrium points shows is locally asymptotically stable whenever \(R_0 < 1\) and endemic is globally asymptotically stable whenever \(R_0 >1\) .

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COVID-19 Transmission Model: Analysis and Multiple Control Strategies

  • 章节

  • 发表日期：

    2025年

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  • Nigar Ali,
  • Ihtisham Ul haq,
  • Ibad Ullah,
  • Imtiaz Ahmad,
  • Anwarud Din,
  • Gul Zaman

摘要

The objective of this work is to describe the dynamics of Coronavirus Disease 2019 (COVID-19) using a mathematical modeling approach. The rapid spread of the disease and its ongoing threat to global health underscore the urgency of understanding its transmission dynamics. COVID-19, a pandemic respiratory illness transmitted through direct or indirect contact, poses a significant public health risk. This study aims to apply a mathematical model to predict the epidemic dynamics of COVID-19, incorporating the role of pathogens in the environment and the effects of interventions. The next-generation matrix approach was used to determine the basic reproduction number \(R_0\) . Stability analysis of the equilibrium points shows is locally asymptotically stable whenever \(R_0 < 1\) and endemic is globally asymptotically stable whenever \(R_0 >1\) .