Modelling the potential role of media campaigns on the control of Listeriosis

C. W. Chukwu, F. Nyabadza, Fatmawati

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Human Listeria infection is a food-borne disease caused by the consumption of contaminated food products by the bacterial pathogen, Listeria. In this paper, we propose a mathematical model to analyze the impact of media campaigns on the spread and control of Listeriosis. The model exhibited three equilibria namely; disease-free, Listeria-free and endemic equilibria. The food contamination threshold is determined and the local stability analyses of the model is discussed. Sensitivity analysis is done to determine the model parameters that most affect the severity of the disease. Numerical simulations were carried out to assess the role of media campaigns on the Listeriosis spread. The results show that; an increase in the intensity of the media awareness campaigns, the removal rate of contaminated food products, a decrease in the contact rate of Listeria by humans results in fewer humans getting infected, thus leading to the disease eradication. An increase in the depletion of media awareness campaigns results in more humans being infected with Listeriosis. These findings may significantly impact policy and decision-making in the control of Listeriosis disease.

Original languageEnglish
Pages (from-to)7580-7601
Number of pages22
JournalMathematical Biosciences and Engineering
Volume18
Issue number6
DOIs
Publication statusPublished - 2021

Keywords

  • Food contamination threshold
  • Infectious disease
  • Listeria
  • Media campaigns
  • Numerical simulations

ASJC Scopus subject areas

  • Modeling and Simulation
  • General Agricultural and Biological Sciences
  • Computational Mathematics
  • Applied Mathematics

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