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

  • University of Johannesburg
  • Universitas Airlangga

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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
StatePublished - 2021
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

Scopus Subject Areas

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

Keywords

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

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