Modeling Epidemics on Structured Populations: Effects of Socio-demographic Characteristics and Immune Response Quality

• Main Author: Reyes Silveyra, Jorge A.
• Other Authors: Mikler, Armin
• Format: Others
• Language: English
• Published: University of North Texas 2014
• Subjects: Computational epidemiology; immunology; trajectory; demographics; modeling; Epidemiology > Mathematical models.; Communicable diseases > Transmission > Mathematical models.; Medical geography.
• Online Access: https://digital.library.unt.edu/ark:/67531/metadc700011/

Epidemiologists engage in the study of the distribution and determinants of health-related states or events in human populations. Eventually, they will apply that study to prevent and control problems and contingencies associated with the health of the population. Due to the spread of new pathogens and the emergence of new bio-terrorism threats, it has become imperative to develop new and expand existing techniques to equip public health providers with robust tools to predict and control health-related crises. In this dissertation, I explore the effects caused in the disease dynamics by the differences in individuals’ physiology and social/behavioral characteristics. Multiple computational and mathematical models were developed to quantify the effect of those factors on spatial and temporal variations of the disease epidemics. I developed statistical methods to measure the effects caused in the outbreak dynamics by the incorporation of heterogeneous demographics and social interactions to the individuals of the population. Specifically, I studied the relationship between demographics and the physiological characteristics of an individual when preparing for an infectious disease epidemic.