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Human Behavioral Risk Ractors for Zoonotic Disease Transmission in Laikipia County, Kenya

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dc.contributor.advisor Lovejoy, Thomas
dc.contributor.author Ashby, Elizabeth
dc.creator Ashby, Elizabeth
dc.date 2019-04-22
dc.date.accessioned 2019-07-02T18:33:40Z
dc.date.available 2021-04-22T06:48:07Z
dc.identifier.uri https://hdl.handle.net/1920/11554
dc.description This thesis has been embargoed for 2 years and will not be available until April 2021 at the earliest. en_US
dc.description.abstract Emerging infectious diseases (EIDs) are a significant threat to global security and human wellbeing. A majority of EIDs affecting humans are zoonotic, or originating from animals. Human risk of exposure to zoonotic pathogens is dependent on a variety of ecological and human behavioral factors, such as vector distribution and human-animal interaction. Mitigating the threat of EID spread is dependent on understanding the multifaceted drivers of disease and identifying potential outbreaks before they occur. The PREDICT project is a global effort to conduct surveillance and mitigation efforts in regions at high risk of disease emergence. Laikipia County, Kenya was selected as a PREDICT area of focus due to high rates of interaction between wildlife, humans, and livestock, which increases risk of disease spillover. Questionnaires were distributed among five communities within Laikipia. These surveys asked participants a series of questions about demographics, sanitation practices, and human-animal interactions. The objective of this thesis research was to analyze the survey data and identify trends in behaviors that may increase pathogen exposure risk. Data analysis was conducted in R with Chi-squared tests and LASSO regression. Each community was characterized by one of three different land use strategies. Results revealed that communities with the same land use system express similar reports of high-risk behavior. Even so, variation was observed on an individual community basis. These results highlight the need to understand human behaviors and disease dynamics on a fine scale. Data from the PREDICT project will be used to develop intervention strategies, which must address specific behaviors within a local context. This study represents a growing body of research that aims to implement interdisciplinary studies to detect potential pandemic threats. Further research should combine quantitative and qualitative research to conduct holistic assessments of disease risk in order to develop relevant, tailored intervention strategies.
dc.language.iso en en_US
dc.subject emerging infectious diseases en_US
dc.subject land use en_US
dc.subject Kenya en_US
dc.subject zoonoses en_US
dc.subject exposure risk en_US
dc.title Human Behavioral Risk Ractors for Zoonotic Disease Transmission in Laikipia County, Kenya en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Environmental Science and Policy en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Environmental Science and Policy en_US
thesis.degree.grantor George Mason University en_US


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