Factors associated with spatial clustering of foot-and-mouth disease in Nepal

Bimal K. Chhetri, Andres M. Perez, Mark Thurmond

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


The purpose of this study was to quantify associations between hypothesized epidemiological factors and the spatial distribution of foot-and-mouth disease (FMD) in Nepal. Spatial clustering of reports of at least one FMD case by Village Development Committee (VDC) in 2004 was examined by use of the spatial scan statistic. A Bayesian Poisson multivariate regression model was used to quantify the association between the number of reports and 25 factors hypothesized to be associated with FMD risk. The spatial scan statistic identified (P<0.01) two clusters of FMD reports. Large numbers of people, buffalo, and animal technicians in a district were associated with an elevated risk of a VDC reporting ≥1 FMD case. The knowledge of high-risk areas and factors associated with the risk of FMD in Nepal could be applied in future disease control programs.

Original languageEnglish (US)
Pages (from-to)1441-1449
Number of pages9
JournalTropical Animal Health and Production
Issue number7
StatePublished - Sep 3 2010


  • Bayesian regression model
  • Foot-and-mouth disease
  • Nepal
  • Spatial analysis

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology


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