title: Impact of preventive responses to epidemics in rural regions.
abstract: Various epidemics have arisen in rural locations through human-animal interaction, such as the H1N1 outbreak of 2009. Through collaboration with local government officials, we have surveyed a rural county and its communities and collected a dataset characterizing the rural population. From the respondents' answers, we build a social (face-to-face) contact network. With this network, we explore the potential spread of epidemics through a Susceptible-Latent-Infected-Recovered (SLIR) disease model. We simulate an exact model of a stochastic SLIR Poisson process with disease parameters representing a typical influenza-like illness. We test vaccine distribution strategies under limited resources. We examine global and location-based distribution strategies, as a way to reach critical individuals in the rural setting. We demonstrate that locations can be identified through contact metrics for use in vaccination strategies to control contagious diseases.
authors.affiliation: K-State EpiCenter, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas, United States of America.
authors.forename: Phillip
authors.initials: P
authors.lastname: Schumm
authors.forename: Walter
authors.initials: W
authors.lastname: Schumm
authors.forename: Caterina
authors.initials: C
authors.lastname: Scoglio
mesh_terms: D000818:Animals; D016358:Contact Tracing; D058872:Epidemics; D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype / Q000502:physiology*; D007251:Influenza, Human / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission*; D007615:Kansas / Q000453:epidemiology; D008962:Models, Theoretical; D012424:Rural Population; D014611:Vaccination; D017735:Virus Latency
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