Prioritizing Emerging Zoonoses in The Netherlands

A.H. Havelaar, F. Rosse, C. Bubura, M.A. Toetenel, J.A. Haagsma, D. Kurowicka, J.A.P. Heesterbeek, J.W.B. van der Giessen

Research output: Contribution to journalArticleAcademicpeer-review

104 Citations (Scopus)

Abstract

Background To support the development of early warning and surveillance systems of emerging zoonoses, we present a general method to prioritize pathogens using a quantitative, stochastic multi-criteria model, parameterized for the Netherlands. Methodology/Principal Findings A risk score was based on seven criteria, reflecting assessments of the epidemiology and impact of these pathogens on society. Criteria were weighed, based on the preferences of a panel of judges with a background in infectious disease control. Conclusions/Significance Pathogens with the highest risk for the Netherlands included pathogens in the livestock reservoir with a high actual human disease burden (e.g. Campylobacter spp., Toxoplasma gondii, Coxiella burnetii) or a low current but higher historic burden (e.g. Mycobacterium bovis), rare zoonotic pathogens in domestic animals with severe disease manifestations in humans (e.g. BSE prion, Capnocytophaga canimorsus) as well as arthropod-borne and wildlife associated pathogens which may pose a severe risk in future (e.g. Japanese encephalitis virus and West-Nile virus). These agents are key targets for development of early warning and surveillance.
Original languageEnglish
Article numbere13965
JournalPLoS ONE
Volume5
Issue number11
DOIs
Publication statusPublished - 2010

Keywords

  • risk
  • infections
  • pathogens
  • diseases

Fingerprint

Dive into the research topics of 'Prioritizing Emerging Zoonoses in The Netherlands'. Together they form a unique fingerprint.

Cite this