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Environmental Health Nexus: Designing Predictive Models for Improving Public Health Interventions

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개인저자Liu, Yang.
단체저자명University of Minnesota. Environmental Health.
서명/저자사항Environmental Health Nexus: Designing Predictive Models for Improving Public Health Interventions.
발행사항[S.l.] : University of Minnesota., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항220 p.
소장본 주기School code: 0130.
ISBN9780438169449
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Matteo Convertino.
요약The environment embodies all surroundings of humans, including natural and built components. The environment is closely related to population health both directly and indirectly. Ambient temperature exposure and air pollution, for example, can d
요약Second, along with the wide range of indicators comes a large volume of environmental data that is now available. Some ambient environmental indicators, such as air temperature, are available on a three-hour basis globally with high resolution s
요약Last but not least, from a computational standpoint, it is challenging to work with high-dimensional data, especially given different research objectives. Environmental health issues do not usually deal with only a pair of exposure and response
요약Despite the technical challenges, environmental information has tremendous potential in terms of ecosystem service for population health research. Existing research has already generated many valuable outcomes with great real-life implications.
요약Targeting the challenges discussed above, this dissertation focuses on designing quantitative predictive models for improving environmental health policy and decisions. More specifically, it generates evidence-based science to improve policies a
요약Within the overarching theme, two projects were completed over the course of this dissertation. The first project used environmental information to forecast infectious disease outbreaks. Infectious diseases that rely on vector-borne, water-borne
요약The forecasting methods used in these disease forecast models were uniquely designed for environmentally sensitive infectious diseases. Based on the nature of the transmission mechanisms involved, the models considered substantial temporal delay
요약The second component was to design evidence-based and policy-oriented models for managing population health risks associated with ambient temperature exposure. This component was a collaborative effort with the Minnesota Department of Health and
일반주제명Environmental health.
Public health.
Epidemiology.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14998891

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