Literature DB >> 15691030

Use of a Bayesian risk-mapping technique to estimate spatial risks for mare reproductive loss syndrome in Kentucky.

James A Thompson1, Stuart E Brown, W Thomas Riddle, Janyce C Seahorn, Noah D Cohen.   

Abstract

OBJECTIVE: To estimate spatial risks associated with mare reproductive loss syndrome (MRLS) during 2001 among horses in a specific study population and partition the herd effects into those attributable to herd location and those that were spatially random and likely attributable to herd management. Animals-Pregnant broodmares from 62 farms in 7 counties in central Kentucky. PROCEDURE: Veterinarians provided the 2001 abortion incidence proportions for each farm included in the study. Farms were georeferenced and data were analyzed by use of a fully Bayesian risk-mapping technique.
RESULTS: Large farm-to-farm variation in MRLS incidence proportions was identified. The farm-to-farm variation was largely attributed to spatial location rather than to spatially random herd effects. CONCLUSIONS AND CLINICAL RELEVANCE: Results indicate that there are considerable data to support an ecologic cause and potential ecologic risk factors for MRLS. Veterinary practitioners with more detailed knowledge of the ecology in the 7 counties in Kentucky that were investigated may provide additional data that would assist in the deduction of the causal factor of MRLS via informal geographic information systems analyses and suggest factors for inclusion in further investigations.

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Year:  2005        PMID: 15691030     DOI: 10.2460/ajvr.2005.66.17

Source DB:  PubMed          Journal:  Am J Vet Res        ISSN: 0002-9645            Impact factor:   1.156


  3 in total

1.  Bayesian kriging of seroprevalence to Mycobacterium avium subspecies paratuberculosis and Neospora caninum in Alberta beef and dairy cattle.

Authors:  James A Thompson; H Morgan Scott
Journal:  Can Vet J       Date:  2007-12       Impact factor: 1.008

2.  Geostatistical analysis of biomarkers of genotoxicity in cattle, Bos taurus and Bos taurus x Bos indicus, sentinels near industrial facilities.

Authors:  Wesley Bissett; Roger Smith; L Garry Adams; Robert Field; William Moyer; Tim Phillips; H Morgan Scott; James A Thompson
Journal:  Ecotoxicology       Date:  2008-09-01       Impact factor: 2.823

3.  Evaluating geostatistical modeling of exceedance probability as the first step in disease cluster investigations: very low birth weights near toxic Texas sites.

Authors:  James A Thompson; Wesley T Bissett; Anne M Sweeney
Journal:  Environ Health       Date:  2014-06-07       Impact factor: 5.984

  3 in total

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