De Rooij Myrna M T, Van Leuken Jeroen P G, Swart Arno, Kretzschmar Mirjam E E, Nielen Mirjam, De Koeijer Aline A, Janse Ingmar, Wouters Inge M, Heederik Dick J J
Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Zoonoses Public Health. 2019 Feb;66(1):14-25. doi: 10.1111/zph.12534. Epub 2018 Nov 6.
From 2007 through 2010, the Netherlands experienced the largest Q fever epidemic ever reported. This study integrates the outcomes of a multidisciplinary research programme on spatial airborne transmission of Coxiella burnetii and reflects these outcomes in relation to other scientific Q fever studies worldwide. We have identified lessons learned and remaining knowledge gaps. This synthesis was structured according to the four steps of quantitative microbial risk assessment (QMRA): (a) Rapid source identification was improved by newly developed techniques using mathematical disease modelling; (b) source characterization efforts improved knowledge but did not provide accurate C. burnetii emission patterns; (c) ambient air sampling, dispersion and spatial modelling promoted exposure assessment; and (d) risk characterization was enabled by applying refined dose-response analyses. The results may support proper and timely risk assessment and risk management during future outbreaks, provided that accurate and structured data are available and exchanged readily between responsible actors.
2007年至2010年期间,荷兰经历了有史以来报告的最大规模的Q热疫情。本研究整合了关于伯氏考克斯氏体空气传播的多学科研究项目的成果,并将这些成果与全球其他Q热科学研究进行了对比。我们总结了经验教训并找出了尚存的知识空白。本综述按照定量微生物风险评估(QMRA)的四个步骤进行构建:(a)通过使用数学疾病模型的新开发技术改进了快速源识别;(b)源特征分析工作增进了知识,但未提供准确的伯氏考克斯氏体排放模式;(c)环境空气采样、扩散和空间建模促进了暴露评估;(d)通过应用精细的剂量反应分析实现了风险特征描述。如果有准确且结构化的数据,并由责任主体之间随时进行交换,这些结果可能会为未来疫情期间的适当和及时的风险评估及风险管理提供支持。