Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

Beatriz Martínez-López, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M Sánchez-Vizcaíno

Research output: Contribution to journalArticle (Academic Journal)peer-review

9 Citations (Scopus)
241 Downloads (Pure)

Abstract

The spatial pattern and epidemiology of backyard pig farming and other low bio-security pig production systems and their role in the occurrence of classical swine fever (CSF) is described and evaluated. A spatial Bayesian model was used to explore the risk factors, including human demographics, socioeconomic and environmental factors. The analyses were performed for Bulgaria, which has a large number of backyard farms (96% of all pig farms in the country are classified as backyard farms), and it is one of the countries for which both backyard pig and farm counts were available. Results reveal that the high-risk areas are typically concentrated in areas with small family farms, high numbers of outgoing pig shipments and low levels of personal consumption (i.e. economically deprived areas). Identification of risk factors and high-risk areas for CSF will allow to targeting risk-based surveillance strategies leading to prevention, control and, ultimately, elimination of the disease in Bulgaria and other countries with similar socio-epidemiological conditions.

Original languageEnglish
Pages (from-to)489-501
Number of pages13
JournalGeospatial Health
Volume8
Issue number2
Early online date1 May 2014
DOIs
Publication statusPublished - May 2014

Keywords

  • Animal Husbandry
  • Animals
  • Bayes Theorem
  • Bulgaria
  • Classical Swine Fever
  • Risk Factors
  • Spatial Analysis
  • Swine
  • Journal Article
  • Research Support, Non-U.S. Gov't

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