Dataset Information

Prioritizing emerging zoonoses in the Netherlands.

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.

SUBMITTER: Havelaar AH

PROVIDER: S-EPMC2981521 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature

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Publications

Prioritizing emerging zoonoses in the Netherlands.

Havelaar Arie H AH van Rosse Floor F Bucura Catalin C Toetenel Milou A MA Haagsma Juanita A JA Kurowicka Dorota D Heesterbeek J Hans A P JH Speybroeck Niko N Langelaar Merel F M MF van der Giessen Johanna W B JW Cooke Roger M RM Braks Marieta A H MA

PloS one 20101115 11

<h4>Background</h4>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.<h4>Methodology/principal findings</h4>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 backgro ...[more]

PMID: 21085625

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Dataset Information

Prioritizing emerging zoonoses in the Netherlands.

Background

Methodology/principal findings

Conclusions/significance

Publications

Prioritizing emerging zoonoses in the Netherlands.

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