European Journal of Wildlife Research

, Volume 57, Issue 5, pp 1065–1075

Wildtool, a flexible, first-line risk assessment system for wildlife-borne pathogens

  • Paul Tavernier
  • Jeroen Dewulf
  • Sophie Roelandt
  • Stefan Roels
Original Paper

DOI: 10.1007/s10344-011-0520-3

Cite this article as:
Tavernier, P., Dewulf, J., Roelandt, S. et al. Eur J Wildl Res (2011) 57: 1065. doi:10.1007/s10344-011-0520-3

Abstract

We describe the prototype of an electronic tool for risk assessment with dynamic ranking of wildlife-borne pathogens in function of their need for surveillance. Data about pathogens, their hosts and occurrences are obtained from literature and are classified as qualitative scores under six main criteria with their sub-criteria, corresponding to the elements of a standard risk assessment. Pathogen-specific data are reviewed by experts. The information is processed per pathogen through an algorithm and through summing up of the values obtained by converting four-tiered qualitative sub-criteria scores to weighted five-tiered numerical values. For a consistent comparison between pathogens, the “unknown” sub-criteria scores are assigned a median value of 3, allowing preservation of the sub-criteria concerned and their weights for the risk assessment, but minimizing the effect of this score on the outcome. Irregular data availability is further accommodated by a different data processing for comprehensiveness and refinement requirements, which is realised by a respective first- and second-level ranking of pathogens, the latter using additional quantitative and qualitative data for the release assessment. Continuous data updates are necessary to reflect the current situation in the field. Output flexibility is implemented by the possibility to run queries based on the choice of a region, a specific target group susceptible to the pathogens and a set of weights for the sub-criteria.

Keywords

Wildlife pathogensRisk assessmentPrioritizationSurveillanceWildtool

Supplementary material

10344_2011_520_MOESM1_ESM.pdf (28 kb)
Appendix 1Guidelines for scoring (PDF 27 kb)
10344_2011_520_MOESM2_ESM.pdf (35 kb)
Appendix 2Scoring form (PDF 35 kb)
10344_2011_520_MOESM3_ESM.pdf (32 kb)
Appendix 3Examples of weights assigned to the sub-criteria (PDF 32 kb)

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Paul Tavernier
    • 1
  • Jeroen Dewulf
    • 2
  • Sophie Roelandt
    • 1
  • Stefan Roels
    • 1
  1. 1.Wildsurv Project, Operational Direction Interactions and SurveillanceVeterinary and Agrochemical Research CenterBrusselsBelgium
  2. 2.Veterinary Epidemiology Unit, Department of Obstetrics, Reproduction and Herd Health, Faculty of Veterinary MedicineGhent UniversityMerelbekeBelgium