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Modeling and Optimization of Dynamical Systems in Epidemiology Using Sparse Grid Interpolation

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서명/저자사항Modeling and Optimization of Dynamical Systems in Epidemiology Using Sparse Grid Interpolation.
개인저자Sai, Aditya P.
단체저자명Purdue University. Biomedical Engineering.
발행사항[S.l.]: Purdue University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항112 p.
기본자료 저록Dissertation Abstracts International 79-10B(E).
Dissertation Abstract International
ISBN9780438018402
학위논문주기Thesis (Ph.D.)--Purdue University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Nan Kong.
요약Infectious diseases pose a perpetual threat across the globe, devastating communities, and straining public health resources to their limit. The ease and speed of modern communications and transportation networks means policy makers are often pl
요약Our contributions to the disease modeling community are encapsulated in the following endeavors. We first explore transmission and recovery mechanisms for disease eradication, identifying a relationship between the reproductive potential of a di
일반주제명Biomedical engineering.
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