A quantitative prioritisation of human and domestic animal pathogens in Europe.

A quantitative prioritisation of human and domestic animal pathogens in Europe.
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DOI:
10.1371/journal.pone.0103529
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Baylis M
Baylis M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
McIntyre KM;Setzkorn C;Hepworth PJ;Morand S;Morse AP;Baylis M

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疾病或病原体风险优先级有助于了解感染因子在监测或缓解和生物安全工作中的影响,但需要重大发展。先前的研究表明H-(赫希-)指数可以作为替代指标。我们采用客观、循证、可重复的方法,对传染性病原体对人类健康(人类病原体)和福祉(家畜病原体)的影响进行加权风险分析;h指数。本研究确定了h指数最高的欧洲病原菌。检查了以前监测或风险分析中未包括的病原体之间的共性。作为One Health影响指标,探讨了宿主类型(人/动物/人畜共患)病原体h指数的差异。最后,通过与其他指标的比较,检验了h指数替代指标对动物病原体影响的可接受性。57种病原体单独出现在h指数最高的(1)人或(2)动物病原体前100名中,43种病原体同时出现在两者中。在人类病原体中,66种是人畜共患的,67种是新出现的,而67种和57种是动物病原体。不同宿主类型(人、动物、人畜共患)的h -指数之间存在统计学上的显著差异,并且有限的证据表明h -指数是动物病原体影响的合理代表。这项工作涉及欧洲委员会概述的加强气候变化适应能力和传染病生物安全的措施。结果包括对传染性病原体影响的定量评估,并表明与人畜共患病原体或人畜共患疾病的科学代表性不足相比,仅人类的影响更大。产出将高影响病原体和低影响病原体分开,并应与依赖专家意见或定性数据确定优先事项的其他风险评估方法相结合,或者可用于确定由于数据差距而无法进行正式风险评估的疾病的优先事项。
Disease or pathogen risk prioritisations aid understanding of infectious agent impact within surveillance or mitigation and biosecurity work, but take significant development. Previous work has shown the H-(Hirsch-)index as an alternative proxy. We present a weighted risk analysis describing infectious pathogen impact for human health (human pathogens) and well-being (domestic animal pathogens) using an objective, evidence-based, repeatable approach; the H-index. This study established the highest H-index European pathogens. Commonalities amongst pathogens not included in previous surveillance or risk analyses were examined. Differences between host types (humans/animals/zoonotic) in pathogen H-indices were explored as a One Health impact indicator. Finally, the acceptability of the H-index proxy for animal pathogen impact was examined by comparison with other measures. 57 pathogens appeared solely in the top 100 highest H-indices (1) human or (2) animal pathogens list, and 43 occurred in both. Of human pathogens, 66 were zoonotic and 67 were emerging, compared to 67 and 57 for animals. There were statistically significant differences between H-indices for host types (humans, animal, zoonotic), and there was limited evidence that H-indices are a reasonable proxy for animal pathogen impact. This work addresses measures outlined by the European Commission to strengthen climate change resilience and biosecurity for infectious diseases. The results include a quantitative evaluation of infectious pathogen impact, and suggest greater impacts of human-only compared to zoonotic pathogens or scientific under-representation of zoonoses. The outputs separate high and low impact pathogens, and should be combined with other risk assessment methods relying on expert opinion or qualitative data for priority setting, or could be used to prioritise diseases for which formal risk assessments are not possible because of data gaps.
DOI: 10.1016/s0140-6736(12)61729-2
发表时间: 2012-12-15
期刊: Lancet (London, England)
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