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Mathematical analysis of swine influenza epidemic model with optimal control

  • Gulf University for Science and Technology
  • Khalifa University of Science and Technology
  • Lahore University of Management Sciences

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A deterministic model is designed and used to analyze the transmission dynamics and the impact of antiviral drugs in controlling the spread of the 2009 swine influenza pandemic. In particular, the model considers the administration of the antiviral both as a preventive as well as a therapeutic agent. Rigorous analysis of the model reveals that its disease-free equilibrium is globally asymptotically stable under a condition involving the threshold quantity-reproduction number (Formula presented.). The disease persists uniformly if (Formula presented.) and the model has a unique endemic equilibrium under certain condition. The model undergoes backward bifurcation if the antiviral drugs are completely efficient. Uncertainty and sensitivity analysis is presented to identify and study the impact of critical model parameters on the reproduction number. A time dependent optimal treatment strategy is designed using Pontryagin’s maximum principle to minimize the treatment cost and the infected population. Finally the reproduction number is estimated for the influenza outbreak and model provides a reasonable fit to the observed swine (H1N1) pandemic data in Manitoba, Canada, in 2009.

Original languageEnglish
Pages (from-to)269-296
Number of pages28
JournalJapan Journal of Industrial and Applied Mathematics
Volume33
Issue number1
DOIs
StatePublished - 1 Feb 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Backward bifurcation
  • Influenza
  • Optimal control
  • Reproduction number
  • Statistical inference
  • Uncertainty and sensitivity analysis

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