On the mathematical modelling and analysis of Listeriosis from contaminated food products
Mbalilo, V.; Chukwu, W.; Nyabadza, F.
Show abstract
Listeriosis is a food-borne disease caused by a bacterium known as Listeria monocytogens. Humans can be infected by consuming contaminated food products. A transmission can also occur through contact with infected animals or people, however to a less extent. In this paper, a mathematical model for Listeriosis dynamics was developed. The steady states and their stability of the model system were determined and analyzed. The result shows that the disease-free equilibrium is asymptotically stable if the bacterias growth rate is less than its removal rate, and also the growth rate of food contamination is less than its removal rate. It was further observed that we can still have Listeriosis driven by the contaminated food products even if the Listeria bacteria population in the environment is very small.The results indicate that Listeriosis can be effectively controlled by removing contaminated food products, which was the policy adopted by the South African government during the recent Listeriosis outbreak.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Global analysis of a cancer model with drug resistance due to Lamarckian induction and microvesicle transfer 97%
- Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization. 97%
- Poor hive thermoregulation produces an Allee effect and leads to colony collapse 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.