对外来动物病原体进入欧盟成员国的风险进行排名的半定量模型

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Roberto Condoleo , Rachel A. Taylor , Robin R.L. Simons , Paul Gale , Ziad Mezher , Helen Roberts
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引用次数: 4

摘要

对外来动物疾病在一个国家或地区的影响进行优先排序的风险排序工具,有助于风险管理人员优化现有资源的分配,以预防和控制传染病。虽然已经开发了一些这样的工具,但很少关注外来病原体进入领土的可能性,能够同时对多种病原体进行排名的工具就更少了。我们开发了一种半定量的多标准模型来估计外来病原体入侵欧洲国家的可能性,并以意大利为例进行了研究。根据世界动物卫生组织的通报准则,我们考虑进口37种对意大利具有重要意义的动物疾病,并根据目前各国向世界动物卫生组织报告的情况确定世界范围内的疾病状况。我们确定了病原体引入的七种可能途径,并为每种途径确定了一个评分系统,以评估每种疾病通过每种途径引入的可能性。这些分数与疾病状态一起用于计算每种病原体的总体风险评分。结果表明,多房棘球蚴、非洲猪瘟病毒、旋毛虫、结节性皮肤病和口蹄疫病毒的入侵风险最高。其他分析表明,疾病排名对进入途径的相对重要性以及潜在缓解措施的影响很敏感。该模型旨在根据获得的新数据,如全球疾病流行率和贸易量,定期进行更新。因此,官方当局可定期使用它来获取最新结果,从而加强对入境概率最高的病原体的监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A semi-quantitative model for ranking the risk of incursion of exotic animal pathogens into a European Union Member State

Risk ranking tools to prioritize the impact of exotic animal diseases in a country or area are useful to assist risk managers in optimizing the allocation of available resources for the prevention and control of infectious diseases. Although several such tools have already been developed, few focus on the probability of entry of an exotic pathogen into a territory and even fewer are able to rank multiple pathogens at the same time. We developed a semi-quantitative multi-criteria model to estimate the probability of incursion of an exotic pathogen into a European country and use Italy as a case study. We consider the import of 37 animal diseases of importance to Italy, based on OIE notification guidelines, and determine a disease status around the world based on current country-level reporting to the OIE. We identify seven possible pathways for the introduction of a pathogen and for each of them we determine a scoring system to assess for each disease the probability of introduction via each pathway. These scores, alongside the disease status, are used to calculate an overall risk score for each pathogen. The results indicate that the risk of incursion of Echinococcus multilocularis, African swine fever virus, Trichinella spp., lumpy skin disease and foot and mouth disease virus are ranked the highest. Additional analyses identified that the disease ranking is sensitive to the relative importance of the pathways of entry and also the impact of potential mitigation measures. The model is designed to be periodically updated with new data as they become available, e.g. global disease prevalence and trade volume. Therefore, it can be used by official authorities on a regular basis to obtain up-to-date results and consequentially strengthen surveillance towards those pathogens with the highest probability of entry.

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来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
期刊介绍: The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.
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