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dc.contributor.advisor Woods, Chris en_US
dc.contributor.author Gong, Wenfeng en_US
dc.date.accessioned 2012-05-29T16:37:28Z
dc.date.available 2012-11-25T05:30:16Z
dc.date.issued 2011 en_US
dc.identifier.uri http://hdl.handle.net/10161/5621
dc.description Thesis en_US
dc.description.abstract <p>As a subproject under the collaboration between Ruhuna University in Sri Lanka and Duke University, this study focused on the identification of socioeconomic and ecological determinants of febrile illness in Galle district. We integrated socioeconomic data from local government, ecological data from national geographic information system (GIS) database, and febrile patients' epidemiologic data from clinical investigation. The integrated database was prepared using GIS techniques and validated via field visits. Missing population data were simulated through Bayesian imputation. While the febrile disease risk is not measurable in the current study, social and ecological predictors of disease distribution (proportion of specific disease in all cases) were identified for the enrolled Teaching Hospital Karapitiya (THK) patients. These predictors are potentially the determinants of febrile disease in Galle. Due to the limitation of single-center clinical sampling, patient travel distance was highly associated with patient visits, thus, it became a strong confounder in analyses. After adjusted for the confounders, a set of patients' social/ecological exposures were found to be associated with dengue, leptospirosis, URTI, LRTI, gastroenteric infection, and/or undifferentiated febrile illness.</p> en_US
dc.subject Public Health en_US
dc.subject Epidemiology en_US
dc.subject Febrile disease en_US
dc.subject GIS en_US
dc.subject Health ecology en_US
dc.subject Spatial epidemiology en_US
dc.title Febrile Disease Epidemiology and Geospatial Modeling in Southern Sri Lanka en_US
dc.type Thesis en_US
dc.department Global Health en_US
duke.embargo.months 6 en_US

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