A mathematical and computational approach in predicting individual vaccinating behavior

Low, Ga Wei. (2014) A mathematical and computational approach in predicting individual vaccinating behavior. [Final Year Project Report] (Unpublished)

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Abstract

Infectious disease exists since long time ago which has killed thousands of life. Strictly speaking, various factors such as climate, environment, land use, population migrations, social, cultural, economic, demographic, or geographic have been identified to influence the dynamics of the infectious disease transmission. One other important factor that has great impact to infectious disease outbreak is the human vaccinating behavior. A better understanding to the influence of individual human behavior on the spread of disease can improve control measures on curbing disease outbreak. Hence, evolutionary game theory will be incorporated into compartmental SIR model in order to quantify the human preventive behavior in the course of disease outbreak with nonlinear incidence rate. The human preventive behavior here is referred to their decision whether or not to get vaccinated. This is because population vaccination rate will have significant effect on the dynamics of disease outbreak. The theoretical mathematical model of epidemiological game theory is implemented numerically with the aid of Simulink in Matlab and computationally as an agent-based modeling (ABM) approach to visualize the role of human vaccinating behavior in the spread of infectious disease. Individuals vaccinating payoff depends on their own imitation rate and sensitivity toward disease prevalence which serves as the important behavioral parameters. It can be compared and verified in both of the simulation model for a purpose of predicting its effects on the dynamic disease spreading.

Item Type: Final Year Project Report
Additional Information: Project Report (B.Sc.) -- Universiti Malaysia Sarawak, 2014.
Uncontrolled Keywords: Infectious disease, Human vaccinating behavior, Evolutionary Game Theory
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Unai
Date Deposited: 26 Aug 2022 08:40
Last Modified: 26 Aug 2022 08:40
URI: http://ir.unimas.my/id/eprint/39349

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