Abstract As South and Central American countries prepare for increased birth defects from
Zika virus outbreaks and plan for mitigation strategies to minimize ongoing and future …

Abstract Approximate Bayesia n Computation (ABC) provides an attractive approach to
estimation in complex Bayesian inferential problems for which evaluation of the kernel of the …

For many infectious disease outbreaks, the at-risk population changes their behavior in
response to the outbreak severity, causing the transmission dynamics to change in real-time …

The book provides an introduction to deterministic (and some stochastic) modeling of
spatiotemporal phenomena in ecology, epidemiology, and neural systems. A survey of the …

With the advances of networks and sensing technologies, it is possible to benefit from the
surrounding environment's data in enhancing peoples' life. Currently, we have different …

Compartmental models are commonly used to describe the spread of infectious diseases by
estimating the probabilities of transitions between important disease states. A significant …

In this mini-dissertation we utilize population mobility data and COVID-19 case data in a
variety of formats, from a variety of sources, in order to formulate a model for the spatial …

Statistical modeling of infectious diseases allows researchers to study epidemiological
patterns, which are of practical importance to public health organizations and those …

The contributions made by mathematical approaches to biological problems has become
widely recognized in recent decades. The focus of this thesis is to develop and analyze …

Bayesian spatial methods have been widely applied in different scientific areas such as
epidemiological studies, image processing and many others. In this work we use Bayesian …