1. A systematic knowledge synthesis on the spatial dimensions of Q fever epidemics
- Author
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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, One Health Microbieel, dIRAS RA-I&I RA, dFAH AVR, One Health Microbieel, dIRAS RA-I&I RA, and dFAH AVR
- Subjects
Coxiella burnetii/physiology ,Epidemiology ,Review ,0403 veterinary science ,0302 clinical medicine ,Models ,Multidisciplinary approach ,Non-U.S. Gov't ,Review Articles ,Risk management ,biology ,airborne exposure ,Research Support, Non-U.S. Gov't ,risk assessment ,04 agricultural and veterinary sciences ,Q Fever/epidemiology ,Identification (information) ,Infectious Diseases ,Geography ,Coxiella burnetii ,epidemiology ,Public Health ,Risk assessment ,spatial analysis ,040301 veterinary sciences ,Bioinformatica & Diermodellen ,030231 tropical medicine ,Q fever ,Research Support ,Models, Biological ,Airborne transmission ,03 medical and health sciences ,Immunology and Microbiology(all) ,Bio-informatics & Animal models ,Journal Article ,medicine ,Animals ,Humans ,Epidemiology, Bio-informatics & Animal models ,Epidemics ,Exposure assessment ,Epidemiologie ,General Veterinary ,General Immunology and Microbiology ,business.industry ,Environmental and Occupational Health ,Public Health, Environmental and Occupational Health ,Biological ,biology.organism_classification ,medicine.disease ,veterinary(all) ,Data science ,Epidemiologie, Bioinformatica & Diermodellen ,WIAS ,business - Abstract
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.
- Published
- 2019
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