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Systems analysis of vaccination in the United States: Socio-behavioral dynamics, sentiment, effectiveness and efficiency

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dc.contributor.authorKang, Gloria Jinen
dc.contributor.committeechairEubank, Stephen G.en
dc.contributor.committeechairAbbas, Kaja M.en
dc.contributor.committeechairMarathe, Madhav Vishnuen
dc.contributor.committeememberLewis, Bryan L.en
dc.contributor.committeememberKelly, Marcella J.en
dc.contributor.departmentBiomedical and Veterinary Sciencesen
dc.date.accessioned2020-02-28T07:00:43Zen
dc.date.available2020-02-28T07:00:43Zen
dc.date.issued2018-09-05en
dc.description.abstractThis dissertation examines the socio-behavioral determinants of vaccination and their impacts on public health, using a systems approach that emphasizes the interface between population health research, policy, and practice. First, we identify the facilitators and barriers of parental attitudes and beliefs toward school-located influenza vaccination in the United States. Next, we examine current vaccine sentiment on social media by constructing and analyzing semantic networks of vaccine information online. Finally, we estimate the health benefits, costs, and cost-effectiveness of influenza vaccination strategies in Seattle using a dynamic agent-based model. The underlying motivation for this research is to better inform public health policy by leveraging the facilitators and addressing potential barriers against vaccination; by understanding vaccine sentiment to improve health science communication; and by assessing potential vaccination strategies that may provide the greatest gains in health for a given cost in health resources.en
dc.description.abstractgeneralPublic health decisions are ultimately left to those in policy, however these decisions are often subjective and rarely informed by data. This dissertation comprises three studies that, individually, examine various public health aspects of vaccination, and collectively, aim to help inform decision makers by bridging the gaps that persist between scientific evidence and the implementation of relevant health policy. First, we identify the facilitators and barriers of parental attitudes and beliefs toward school-located influenza vaccination in the United States. Next, we examine current vaccine sentiment on social media by constructing and analyzing semantic networks of vaccine information online. Finally, we estimate the health benefits, costs, and cost-effectiveness of influenza vaccination strategies in Seattle using a dynamic agent-based model. The work presented here demonstrates a systems approach to public health by way of computational modeling and interdisciplinary perspectives that describe vaccination behavior at the intersection of public health research, policy, and practice. The motivation for this research is to better inform public health policy: by leveraging the facilitators and addressing potential barriers against vaccination; by understanding vaccine sentiment to improve health science communication; and by assessing potential vaccination strategies that may provide the greatest gains in health for a given cost in health resources.en
dc.description.degreePHDen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:16823en
dc.identifier.urihttp://hdl.handle.net/10919/97079en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectpublic healthen
dc.subjectvaccinationen
dc.subjectinfluenzaen
dc.subjectcomputational epidemiologyen
dc.titleSystems analysis of vaccination in the United States: Socio-behavioral dynamics, sentiment, effectiveness and efficiencyen
dc.typeDissertationen
thesis.degree.disciplineBiomedical and Veterinary Sciencesen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePHDen

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