Community epidemiology framework for classifying disease threats.

Community epidemiology framework for classifying disease threats.
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DOI:
10.3201/eid1112.050306
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发表时间:
2005-12
影响因子:
11.8
通讯作者:
Pedersen AB
Pedersen AB
中科院分区:
医学2区
文献类型:
--
作者:
Fenton A;Pedersen AB

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多宿主病原体的生态和进化特征决定了新出现传染病的可能性。最近的证据表明,大多数寄生虫可以感染多种宿主物种,而这些宿主物种是人类和野生动物中新出现的传染病爆发的主要原因。然而,人们对限制或促进这种出现的生态和进化因素知之甚少。我们提出了一个基于病原体的种间和种内传播率的概念框架,以描述可能导致疾病出现的多宿主病原体群落的可能配置。我们建立了 3 个动态阈值,将 4 类疾病结果、溢出、明显多宿主、真正多宿主和潜在新发传染病分开;描述可能的疾病出现情况;概述每个案例的人口动态;并澄清现有术语。我们通过人类和野生动物种群疾病威胁的例子强调了该框架的实用性,展示了它如何使我们能够了解哪些生态因素影响疾病的出现并预测宿主转移对一系列疾病系统的影响。
Ecologic and evolutionary features of multihost pathogens determine the likelihood of emerging infectious diseases. Recent evidence suggests that most parasites can infect multiple host species and that these are primarily responsible for emerging infectious disease outbreaks in humans and wildlife. However, the ecologic and evolutionary factors that constrain or facilitate such emergences are poorly understood. We propose a conceptual framework based on the pathogen's between- and within-species transmission rates to describe possible configurations of a multihost-pathogen community that may lead to disease emergence. We establish 3 dynamic thresholds separating 4 classes of disease outcomes, spillover, apparent multihost, true multihost, and potential emerging infectious disease; describe possible disease emergence scenarios; outline the population dynamics of each case; and clarify existing terminology. We highlight the utility of this framework with examples of disease threats in human and wildlife populations, showing how it allows us to understand which ecologic factors affect disease emergence and predict the impact of host shifts in a range of disease systems.
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发表时间: 2003-09-01
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影响因子: 8.8
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