Scenario tree modeling to analyze the probability of classical swine fever virus introduction in to member states of the European Union

C.J. de Vos, H.W. Saatkamp, M. Nielen, R.B.M. Huirne

Research output: Contribution to journalArticleAcademicpeer-review

30 Citations (Scopus)

Abstract

The introduction of classical swine fever virus (CSFV) into a country free of disease without vaccination may have huge consequences in terms of both disease spread and economic losses. More quantitative insight into the main factors determining the probability of CSFV introduction (P-CSFV) is needed to optimally use resources for the prevention of CSFV introduction. For this purpose a spreadsheet model was constructed that calculates the annual PCSFV into member states of the European Union (EU). The scenario pathway approach was used as most probabilities in the model are very small. Probability distributions were used to take into account inherent variability of input parameters. The model contained pathways of CSFV introduction including the import of pigs and pork products, returning livestock trucks, and contacts with wild boar. All EU member states were included as possible sources of CSFV. Default results for the Netherlands showed a mean overall annual P-CSFV of approximately 0.06, indicating that the Netherlands can expect CSFV introduction on average once every 18 years from the pathways and countries included in the model. Almost 65% of this probability could be attributed to the pathway of returning livestock trucks. The most likely sources of CSFV introduction were Germany, Belgium, and the United Kingdom. Although the calculated probabilities were rather low when compared with expert estimates and recent history, the most likely causes of CSFV introduction indicated by the model were considered to be realistic. It was therefore concluded that the model is a useful tool to structure and analyze information for decision making concerning the prevention of CSFV introduction.
Original languageEnglish
Pages (from-to)237-253
JournalRisk Analysis
Volume24
Issue number1
DOIs
Publication statusPublished - 2004

Keywords

  • netherlands
  • epidemiology
  • disease
  • epizootiology
  • variability
  • products
  • csf

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