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 language | English |
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Pages (from-to) | 7580-7601 |
Number of pages | 22 |
Journal | Mathematical Biosciences and Engineering |
Volume | 18 |
Issue number | 6 |
DOIs | |
Publication status | Published - 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