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The measles epidemic model assessment under real statistics: an application of stochastic optimal control theory

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  • Peijiang Liu
  • Rukhsar Ikram
  • Amir Khan
  • Anwarud Din

Abstract

A stochastic epidemic model with random noise transmission is taken into account, describing the dynamics of the measles viral infection. The basic reproductive number is calculated corresponding to the stochastic model. It is determined that, given initial positive data, the model has bounded, unique, and positive solution. Additionally, utilizing stochastic Lyapunov functional theory, we study the extinction of the disease. Stationary distribution and extinction of the infection are examined by providing sufficient conditions. We employed optimal control principles and examined stochastic control systems to regulate the transmission of the virus using environmental factors. Graphical representations have been offered for simplicity of comprehending in order to further verify the acquired analytical findings.

Suggested Citation

  • Peijiang Liu & Rukhsar Ikram & Amir Khan & Anwarud Din, 2023. "The measles epidemic model assessment under real statistics: an application of stochastic optimal control theory," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 26(2), pages 138-159, January.
    • Handle: RePEc:taf:gcmbxx:v:26:y:2023:i:2:p:138-159
    DOI: 10.1080/10255842.2022.2050222
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