Publication: Analysis Of Nonlinear Dynamics Of Epidemiological Models With Local Dispersal, Reinfection And Limited Medical Resources
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Date
2025-09
Authors
Salman, Al Zaidi Amer Mohammed
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Abstract
Examining the dynamics of disease spread and its control measures remains a main challenge in epidemiology. Numerous studies have proposed various factors influencing disease transmission, including environmental conditions, population movement,
and healthcare resources. While distinct models have been formulated to examine these factors, less attention has been given to understanding how the interplay of reinfection, medical resource limitations, and spatial dispersal processes determines epidemic outcomes. This thesis investigates the long-term dynamics of COVID-19 in Malaysia using a group of deterministic Susceptible-Infectious-Removed (SIR) kinetic models that incorporate temporary immunity, spatial heterogeneity, local dispersal, and control measures.
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Keywords
Analysis Of Nonlinear Dynamics Of Epidemiological Models , Local Dispersal , Reinfection , Limited Medical Resources