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A systematic knowledge synthesis on the spatial dimensions of Q fever epidemics.
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.
Afiliação
  • De Rooij MMT; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
  • Van Leuken JPG; Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Swart A; Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Kretzschmar MEE; Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Nielen M; Julius Centre, University Medical Centre Utrecht (UMCU), Utrecht, The Netherlands.
  • De Koeijer AA; Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
  • Janse I; Central Veterinary Institute, Wageningen University and Research Centre, Lelystad, The Netherlands.
  • Wouters IM; Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Heederik DJJ; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
Zoonoses Public Health ; 66(1): 14-25, 2019 02.
Article em En | MEDLINE | ID: mdl-30402920
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Febre Q / Coxiella burnetii / Epidemias / Modelos Biológicos Tipo de estudo: Risk_factors_studies / Systematic_reviews Limite: Animals / Humans Idioma: En Revista: Zoonoses Public Health Assunto da revista: MEDICINA VETERINARIA / SAUDE PUBLICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Febre Q / Coxiella burnetii / Epidemias / Modelos Biológicos Tipo de estudo: Risk_factors_studies / Systematic_reviews Limite: Animals / Humans Idioma: En Revista: Zoonoses Public Health Assunto da revista: MEDICINA VETERINARIA / SAUDE PUBLICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda