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Geographic distribution modeling and spatial cluster analysis for equine piroplasms in Greece.
- Source :
-
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases [Infect Genet Evol] 2010 Oct; Vol. 10 (7), pp. 1013-8. Date of Electronic Publication: 2010 Jul 01. - Publication Year :
- 2010
-
Abstract
- Maximum entropy ecological niche modeling and spatial scan statistic were utilized to predict the geographic range and to investigate clusters of infections for equine piroplasms in Greece, using the Maxent and SaTScan programs, respectively. The eastern half of the country represented the culminating area with high probabilities (p>0.75) of presence of equine piroplasms and encompassed most regions with high concentration of equid host populations. The most important environmental factor that contributed to the ecological niche modeling was land cover followed by temperature. Significant clusters (p<0.0001) were detected for Babesia caballi and Theileria equi infections in North and Central regions of Greece, respectively, which have significant equine populations. Maximum entropy ecological niche modeling and spatial scan statistic have proved to be useful tools for the surveillance of animal diseases.<br /> (Copyright 2010 Elsevier B.V. All rights reserved.)
- Subjects :
- Animals
Babesia classification
Babesiosis epidemiology
Babesiosis parasitology
Cluster Analysis
Environment
Greece epidemiology
Horse Diseases epidemiology
Horses
Models, Biological
Theileria classification
Theileriasis epidemiology
Babesia isolation & purification
Babesiosis veterinary
Horse Diseases parasitology
Theileria isolation & purification
Theileriasis parasitology
Subjects
Details
- Language :
- English
- ISSN :
- 1567-7257
- Volume :
- 10
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
- Publication Type :
- Academic Journal
- Accession number :
- 20601173
- Full Text :
- https://doi.org/10.1016/j.meegid.2010.06.014