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Updated: Jun 6, 2026

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
11:00

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

Published on: November 28, 2016

Prioritizing emerging zoonoses in the Netherlands.

Arie H Havelaar1, Floor van Rosse, Catalin Bucura

  • 1National Institute for Public Health and the Environment, Bilthoven, The Netherlands. arie.havelaar@rivm.nl

Plos One
|November 19, 2010
PubMed
Summary
This summary is machine-generated.

A new quantitative model prioritizes zoonotic pathogens for early warning systems in the Netherlands. High-risk pathogens include those with current or historical human disease burden, rare severe zoonoses, and potential future threats like arboviruses.

Related Experiment Videos

Last Updated: Jun 6, 2026

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
11:00

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

Published on: November 28, 2016

Area of Science:

  • Veterinary epidemiology
  • Public health
  • Risk assessment

Background:

  • Emerging zoonotic diseases pose a significant threat to public health.
  • Effective early warning and surveillance systems are crucial for managing zoonoses.
  • A quantitative, multi-criteria model can aid in prioritizing pathogens for surveillance.

Purpose of the Study:

  • To develop and apply a generalizable quantitative, stochastic multi-criteria model.
  • To prioritize zoonotic pathogens for surveillance and early warning systems in the Netherlands.

Main Methods:

  • A quantitative, stochastic multi-criteria model was developed.
  • Seven criteria were used to assess pathogen risk, including epidemiology and societal impact.
  • A panel of experts weighted the criteria based on their preferences.

Main Results:

  • The model generated a risk score for various zoonotic pathogens.
  • Pathogens identified as high-risk include Campylobacter spp., Toxoplasma gondii, Coxiella burnetii, Mycobacterium bovis, BSE prion, Capnocytophaga canimorsus, Japanese encephalitis virus, and West-Nile virus.
  • These pathogens represent diverse sources, including livestock, domestic animals, and wildlife.

Conclusions:

  • The developed model effectively prioritizes zoonotic pathogens for surveillance in the Netherlands.
  • Key target pathogens for early warning systems were identified.
  • This approach supports proactive public health strategies against emerging zoonoses.