Publication:
Analysis Of Nonlinear Dynamics Of Epidemiological Models With Local Dispersal, Reinfection And Limited Medical Resources

Simple item page
dc.contributor.authorSalman, Al Zaidi Amer Mohammed
dc.date.accessioned2026-06-04T02:18:23Z
dc.date.available2026-06-04T02:18:23Z
dc.date.issued2025-09
dc.description.abstractExamining 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.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/24300
dc.language.isoen
dc.subjectAnalysis Of Nonlinear Dynamics Of Epidemiological Models
dc.subjectLocal Dispersal
dc.subjectReinfection
dc.subjectLimited Medical Resources
dc.titleAnalysis Of Nonlinear Dynamics Of Epidemiological Models With Local Dispersal, Reinfection And Limited Medical Resources
dc.typeResource Types::text::thesis::doctoral thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
Files
Collections
Pusat Pengajian Sains Matematik - Tesis