Seven challenges in modeling pathogen dynamics within-host and across scales

被引:59
|
作者
Gog, Julia R. [1 ,2 ]
Pellis, Lorenzo [3 ,4 ]
Wood, James L. N. [1 ,5 ]
McLean, Angela R. [6 ]
Arinaminpathy, Nimalan [7 ]
Lloyd-Smith, James O. [1 ,8 ]
机构
[1] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
[2] Univ Cambridge, Dept Appl Math & Theoret Phys, Ctr Math Sci, Cambridge CB3 OWA, England
[3] Univ Warwick, Warwick Infect Dis Epidemiol Res Ctr WIDER, Coventry CV4 7AL, W Midlands, England
[4] Univ Warwick, Warwick Math Inst, Coventry CV4 7AL, W Midlands, England
[5] Univ Cambridge, Dept Vet Med, Dis Dynam Unit, Cambridge CB3 0ES, England
[6] Univ Oxford, Oxford Martin Sch, Dept Zool, Oxford OX1 3P5, England
[7] Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Infect Dis Epidemiol, London SW7 2AZ, England
[8] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA
基金
英国工程与自然科学研究理事会; 美国国家科学基金会; 美国国家卫生研究院;
关键词
Within-host; Multiple scales; Superinfection; Transmission bottlenecks; Deep-sequencing; INFLUENZA; VIRUS; TRANSMISSION; ADAPTATION; MECHANISMS; INFECTION;
D O I
10.1016/j.epidem.2014.09.009
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
The population dynamics of infectious disease is a mature field in terms of theory and to some extent, application. However for microparasites, the theory and application of models of the dynamics within a single infected host is still an open field. Further, connecting across the scales - from cellular to host level, to population level - has potential to vastly improve our understanding of pathogen dynamics and evolution. Here, we highlight seven challenges in the following areas: transmission bottlenecks, heterogeneity within host, dynamic fitness landscapes within hosts, making use of next-generation sequencing data, capturing superinfection and when and how to model more than two scales. (C) 2014 The Authors. Published by Elsevier B.V.
引用
收藏
页码:45 / 48
页数:4
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