在动物与人类的交界处控制新出现的人畜共患病。

One Health Outlook Pub Date : 2020-01-01 Epub Date: 2020-09-18 DOI:10.1186/s42522-020-00024-5
Riley O Mummah, Nicole A Hoff, Anne W Rimoin, James O Lloyd-Smith
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引用次数: 0

摘要

背景:对于许多新出现或再次出现的病原体来说,人类感染病例是由传入(通过动物贮藏库的人畜共患病溢出或流行地区的地理溢出)和继发性人际传播混合造成的。旨在降低这些感染发病率的干预措施可以侧重于防止外溢或减少人际传播,有时也可以同时进行,而且通常受到资源限制的制约,需要决策者做出选择。尽管人们越来越重视利用数学模型为疾病控制政策提供信息,但很少有人关注如何在动物与人类的交界处指导合理的疾病控制:方法:我们引入了一个建模框架来分析不同疾病控制政策的影响,重点关注在人类中呈现亚临界传播的病原体(即无法建立持续的人际传播的病原体)。我们量化了在一系列流行病学背景下,减少外溢(如减少与动物宿主的接触)、人际传播(如病例隔离)或同时减少这两种传播(如接种疫苗)的措施的相对效果:结果:我们提供了在不同的流行病学情况下,考虑到不同的资源水平和相对成本,选择优先采取哪种控制模式的指导原则。我们结合当前的人畜共患病原体和其他次临界病原体(如麻疹消除后)以及已实施的控制政策进行了分析:我们的工作为理解和指导亚临界人畜共患病政策提供了一个基于模型的理论基础,以符合 "一个健康 "原则的方式跨越学科和物种界限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Controlling emerging zoonoses at the animal-human interface.

Background: For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (via zoonotic spillover from animal reservoirs or geographic spillover from endemic regions) and secondary human-to-human transmission. Interventions aiming to reduce incidence of these infections can be focused on preventing spillover or reducing human-to-human transmission, or sometimes both at once, and typically are governed by resource constraints that require policymakers to make choices. Despite increasing emphasis on using mathematical models to inform disease control policies, little attention has been paid to guiding rational disease control at the animal-human interface.

Methods: We introduce a modeling framework to analyze the impacts of different disease control policies, focusing on pathogens exhibiting subcritical transmission among humans (i.e. pathogens that cannot establish sustained human-to-human transmission). We quantify the relative effectiveness of measures to reduce spillover (e.g. reducing contact with animal hosts), human-to-human transmission (e.g. case isolation), or both at once (e.g. vaccination), across a range of epidemiological contexts.

Results: We provide guidelines for choosing which mode of control to prioritize in different epidemiological scenarios and considering different levels of resource and relative costs. We contextualize our analysis with current zoonotic pathogens and other subcritical pathogens, such as post-elimination measles, and control policies that have been applied.

Conclusions: Our work provides a model-based, theoretical foundation to understand and guide policy for subcritical zoonoses, integrating across disciplinary and species boundaries in a manner consistent with One Health principles.

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