語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Heterogeneity across Scales: Modelin...
~
Morris, Sinead Elizabeth.
FindBook
Google Book
Amazon
博客來
Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections./
作者:
Morris, Sinead Elizabeth.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
249 p.
附註:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:
Dissertation Abstracts International79-10B(E).
標題:
Ecology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10817243
ISBN:
9780438048225
Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections.
Morris, Sinead Elizabeth.
Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 249 p.
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Thesis (Ph.D.)--Princeton University, 2018.
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 limited in their ability to capture key mechanisms underlying heterogeneous systems. In this thesis I consider aspects of pathogen and host life history that cause substantial heterogeneity, both within and between infected individuals, and can greatly improve our understanding of population dynamics when incorporated into existing mathematical frameworks. Chapter 1 opens with a general introduction, Chapters 2--5 present the research, and Chapter 6 concludes by synthesizing key themes and future directions.
ISBN: 9780438048225Subjects--Topical Terms:
516476
Ecology.
Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections.
LDR
:03559nmm a2200337 4500
001
2205203
005
20190717110304.5
008
201008s2018 ||||||||||||||||| ||eng d
020
$a
9780438048225
035
$a
(MiAaPQ)AAI10817243
035
$a
(MiAaPQ)princeton:12545
035
$a
AAI10817243
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Morris, Sinead Elizabeth.
$3
3432070
245
1 0
$a
Heterogeneity across Scales: Modeling the Impact of Pathogen and Host Life Histories on the Dynamics of Acute Infections.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
249 p.
500
$a
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500
$a
Adviser: Bryan T. Grenfell.
502
$a
Thesis (Ph.D.)--Princeton University, 2018.
520
$a
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 limited in their ability to capture key mechanisms underlying heterogeneous systems. In this thesis I consider aspects of pathogen and host life history that cause substantial heterogeneity, both within and between infected individuals, and can greatly improve our understanding of population dynamics when incorporated into existing mathematical frameworks. Chapter 1 opens with a general introduction, Chapters 2--5 present the research, and Chapter 6 concludes by synthesizing key themes and future directions.
520
$a
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, particularly for wildlife populations. Chapter 2 addresses this problem through an outbreak of dolphin morbillivirus in the northwestern Atlantic. Despite limited information on population movements and disease incidence, I estimate key epidemiological parameters and demonstrate the importance of host migration in shaping the heterogeneous spatial distribution of disease. I contrast this work in Chapter 3 by using richer epidemiological data to explore dynamics of seasonal influenza. Within the relatively understudied region of Scandinavia, I show that seasonal outbreaks are more spatially synchronized than would be expected given the heterogeneous demographic distribution. Overall, these chapters address important challenges in identifying host factors that mediate spatial disease dynamics.
520
$a
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-based disease models. Chapter 5 extends this to finer biological scales by explicitly modeling cellular interactions within an infected host. Using measles a case study, I extend previous models to incorporate dynamic feedbacks between the virus and host immune cells, and subsequently identify key drivers of acute viral clearance. Together, these chapters aim to contribute towards the increasing integration of within-host interactions in models of acute infections.
590
$a
School code: 0181.
650
4
$a
Ecology.
$3
516476
650
4
$a
Applied mathematics.
$3
2122814
650
4
$a
Epidemiology.
$3
568544
690
$a
0329
690
$a
0364
690
$a
0766
710
2
$a
Princeton University.
$b
Ecology and Evolutionary Biology.
$3
3177927
773
0
$t
Dissertation Abstracts International
$g
79-10B(E).
790
$a
0181
791
$a
Ph.D.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10817243
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9381752
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入