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首页> 外文期刊>Frontiers in Public Health >Applying Science: Opportunities to Inform Disease Management Policy with Cooperative Research within a One Health Framework
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Applying Science: Opportunities to Inform Disease Management Policy with Cooperative Research within a One Health Framework

机译:应用科学:在一个健康框架内通过合作研究向疾病管理政策提供信息的机会

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The ongoing Ebola outbreak in West Africa and the current saiga antelope die off in Kazakhstan each represent very real and difficult to manage public or veterinary health crises. They also illustrate the importance of stable and funded surveillance and sound policy for intervention or disease control. While these two events highlight extreme cases of infectious disease (Ebola) or (possible) environmental exposure (saiga), diseases such as anthrax, brucellosis, tularemia, and plague are all zoonoses that pose risks and present surveillance challenges at the wildlife-livestock–human interfaces. These four diseases are also considered important actors in the threat of biological terror activities and have a long history as legacy biowarfare pathogens. This paper reviews recent studies done cooperatively between American and institutions within nations of the Former Soviet Union (FSU) focused on spatiotemporal, epidemiological, and ecological patterns of these four zoonoses. We examine recent studies and discuss the possible ways in which techniques, including ecological niche modeling, disease risk modeling, and spatiotemporal cluster analysis, can inform disease surveillance, control efforts, and impact policy. Our focus is to posit ways to apply science to disease management policy and actual management or mitigation practices. Across these examples, we illustrate the value of cooperative studies that bring together modern geospatial and epidemiological analyses to improve our understanding of the distribution of pathogens and diseases in livestock, wildlife, and humans. For example, ecological niche modeling can provide national level maps of pathogen distributions for surveillance planning, while space-time models can identify the timing and location of significant outbreak events for defining active control strategies. We advocate for the need to bring the results and the researchers from cooperative studies into the meeting rooms where policy is negotiated and use these results to inform future disease surveillance and control or eradication campaigns.
机译:西非持续爆发的埃博拉疫情和哈萨克斯坦目前的赛加羚羊死亡,均代表着非常真实且难以管理的公共或兽医卫生危机。它们还说明了稳定,有资金的监视和健全的政策对于干预或疾病控制的重要性。尽管这两个事件都突出说明了传染病(埃博拉)或(可能)环境暴露(saiga)的极端情况,但炭疽,布鲁氏菌病,图拉血病和鼠疫等疾病都是人畜共患病,对野生动植物造成了风险,并给监测带来了挑战–人机界面。这四种疾病也被认为是威胁生物恐怖活动的重要因素,并且作为遗留生物战的病原体历史悠久。本文回顾了美国与前苏联国家内部机构之间最近进行的合作研究,重点是这四种人畜共患病的时空,流行病学和生态模式。我们审查了最近的研究,并讨论了包括生态位建模,疾病风险建模和时空聚类分析在内的技术可用于疾病监测,控制工作和影响政策的可能途径。我们的重点是找到将科学应用于疾病管理政策和实际管理或缓解实践的方法。在这些示例中,我们说明了合作研究的价值,这些研究将现代地理空间和流行病学分析结合在一起,以增进我们对牲畜,野生生物和人类中病原体和疾病分布的理解。例如,生态位建模可以为监控计划提供国家级病原体分布图,而时空模型可以识别重大爆发事件的时间和位置,以定义主动控制策略。我们主张有必要将结果以及合作研究的研究人员带入谈判政策的会议室,并使用这些结果为将来的疾病监测和控制或根除运动提供信息。

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