Genetic assignment methods for gaining insight into the management of infectious disease by understanding pathogen, vector, and host movement.
Genetic assignment methods for gaining insight into the management of infectious disease by understanding pathogen, vector, and host movement.
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DOI：
10.1371/journal.ppat.1002013
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发表时间：
2011-04
期刊：
影响因子：
6.7
通讯作者：
Blair D
中科院分区：
文献类型：
--
作者：
Remais JV;Xiao N;Akullian A;Qiu D;Blair D
对于许多处于环境阶段的病原体，或者由病媒或中间宿主携带的病原体，疾病的传播受到病原体、宿主和病媒在复杂地形上的移动的强烈影响，因此，移动速度和方向的定量测量可以为疾病管理和干预提供新的机会。遗传分配方法是一组强大的统计方法，可用于建立个体的群体成员资格。最近的理论改进使这些技术能够用于经济有效地估计传染病系统中关键运动的大小和方向，揭示促进或限制传播的重要生态和环境特征。在这里，我们回顾了分配方法背后的理论、统计框架和分子标记，并对分配测试在传染病流行病学中的最新应用进行了严格的审查。讨论了利用这些技术的研究方向，重点是需要研究的关键参数，以改进对疾病模式的理解。
For many pathogens with environmental stages, or those carried by vectors or intermediate hosts, disease transmission is strongly influenced by pathogen, host, and vector movements across complex landscapes, and thus quantitative measures of movement rate and direction can reveal new opportunities for disease management and intervention. Genetic assignment methods are a set of powerful statistical approaches useful for establishing population membership of individuals. Recent theoretical improvements allow these techniques to be used to cost-effectively estimate the magnitude and direction of key movements in infectious disease systems, revealing important ecological and environmental features that facilitate or limit transmission. Here, we review the theory, statistical framework, and molecular markers that underlie assignment methods, and we critically examine recent applications of assignment tests in infectious disease epidemiology. Research directions that capitalize on use of the techniques are discussed, focusing on key parameters needing study for improved understanding of patterns of disease.
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影响因子：
4.3
作者：
Koopman, JS;Chick, SE;Jacquez, G
通讯作者：
Jacquez, G
DOI：
10.1098/rsif.2008.0265
发表时间：
2009-06-06
期刊：
Journal of the Royal Society, Interface
影响因子：
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作者：
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通讯作者：
Seto EY
DOI：
10.1073/pnas.081068098
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影响因子：
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作者：
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通讯作者：
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作者：
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影响因子：
56.9
作者：
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通讯作者：
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