Abstract
In this paper, we study a methicillin-resistant Staphylococcus aureus epidemic model taking into ac-count both hospitals’ and the general community dynamics. The model is designed to track the long-term dynamics of methicillin-resistant Staphylococcus aureus infections. Mathematical analysis of the developed model is car-ried out. The MRSA-free equilibrium Mao and the model reproduction number R0 are established. Numerical simulations are performed using previously published data from relevant scientific literature. It is shown that both the MRSA-free equilibrium and the MRSA-persistent equilibrium are locally asymptotically stable when R0 < 1 and R0 > 1, respectively. Numerical simulations are also conducted to ascertain the effects of variations in key parameter values on specific compartments: (i) hospitalized individuals exclusively, (ii) the general community exclusively, or (iii) both hospitalized individuals and the general community concurrently. It is shown that 1% increase in the values of βh and βc corresponds to approximately 27.1% and 8.3% increase in the value of R0, respectively. On the other hand, a 0.1% increase in the values of ε and ψ, and a 0.25% increase in the value of δ corresponds to approximately 0.53%, 0.498% and 0.267% decrease in the value of R0, respectively. The find-ings suggest the need for policymakers to implement robust measures aimed at minimizing infection transmission between both infected and susceptible individuals, encompassing both nosocomial environments and the wider community.
Original language | English |
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Article number | 94 |
Journal | Communications in Mathematical Biology and Neuroscience |
Volume | 2024 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- community acquired infection
- hospital acquired infec-tion
- methicillin-resistant
- numerical simulations
- reproduction number
- Staphylococcus aureus
ASJC Scopus subject areas
- General Neuroscience
- General Biochemistry,Genetics and Molecular Biology
- Applied Mathematics