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Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections. |
| 개인저자 | Morris, Sinead Elizabeth. |
| 단체저자명 | Princeton University. Ecology and Evolutionary Biology. |
| 발행사항 | [S.l.]: Princeton University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 249 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438048225 |
| 학위논문주기 | Thesis (Ph.D.)--Princeton University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Bryan T. Grenfell. |
| 요약 | Mathematical modeling is an essential tool in understanding and controlling the spread of infectious diseases. Although simple, ordinary differential equation models have provided many insights into dynamics at the population level, they are lim |
| 요약 | First I consider host life history, in particular the impact of host dispersal on the spatial spread of disease. Mathematical models incorporating dispersal typically rely on highly resolved spatial data, which is challenging to obtain, particul |
| 요약 | Next, I explore pathogen life history, and the impact of host-pathogen interactions on population dynamics. In Chapter 4 I show that incorporating heterogeneity in the strength of pathogen-conferred immunity can improve predictions of population |
| 일반주제명 | Ecology. Applied mathematics. Epidemiology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
