Social interactions play an important role in spread of a disease. In this thesis we propose a probabilistic approach to synthesize an agent-based heterogeneous population interaction model to study the spatio-temporal dynamics of an air-born epidemic, such as influenza, in a me…
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The problem of changing scale in models of a system is relevant in many different fields. In this thesis we investigate the problem in models of biological systems, particularly infectious disease spread and population dynamics. We investigate this problem using the process alge…
Two essays in this dissertation make a contribution to monitoring the HIV/AIDS epidemic and two focus on the behavioral dynamics that feed it. Following advances in medical technology, HIV testing is now often included in community-based surveys and that raised expectations for …
HIV/AIDS continues to pose some of the most significant social, political and legislative challenges globally. This project explicates the text-mediated processes by which many HIV-related laws are becoming created transnationally though the use of omnibus HIV model laws. A mode…
This paper is to explore similarities and differences for various company’s stock performance based on a past pandemics, epidemic, or a new virus outbreak. Research shows that when an emergence of a new virus occurs, there is a pattern of volatility in the markets during that in…
Early efforts to predict the spread of disease have been traced back to the 14 th century. Most notable in historical disease prediction is the Black Death which engulfed Europe from 1347 to 1351, killing an estimated 200 million people. Attempts to predict the spread of disease…