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Epidemic Dynamics of Metapopulation Models

Abstract Mathematical modeling of infectious diseases can help public health officials to make decisions related to the mitigation of epidemic outbreaks. However, over or under estimations of the morbidity of any infectious disease can be problematic. Therefore, public health officials can always make use of better models to study the potential implication of their decisions and strategies prior to their implementation. Previous work focuses on the mechanisms underlying the different epidemic waves observed in Mexico during the novel swine origin influenza H1N1 pandemic of 2009 and showed extensions of classical models in epidemiology by adding temporal variations in different parameters that are likely to change during the time course of an epidemi... (more)
Created Date 2014
Contributor Cruz-Aponte, Maytee (Author) / Wirkus, Stephen A. (Advisor) / Castillo-Chavez, Carlos (Advisor) / Camacho, Erika T. (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Subject Epidemiology / Mathematics / Biology / AH1N1 / Influenza / Markov Chains / Metapopulation / Stochastic Processes / Vaccination
Type Doctoral Dissertation
Extent 237 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Applied Mathematics for the Life and Social Sciences 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis