Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East
| Autor: | John P. Grieco, Penny Masuoka, Michelle G Colacicco-Mayhugh |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Veterinary medicine
General Computer Science Climate Population Dynamics Business Management and Accounting(all) Land cover lcsh:Computer applications to medicine. Medical informatics Models Biological Middle East Cutaneous leishmaniasis medicine Animals Psychodidae Phlebotomus Ecosystem Ecological niche biology Ecology Research Public Health Environmental and Occupational Health Leishmaniasis medicine.disease biology.organism_classification General Business Management and Accounting Insect Vectors Geography Animal ecology Vector (epidemiology) lcsh:R858-859.7 Computer Science(all) |
| Zdroj: | International Journal of Health Geographics International Journal of Health Geographics, Vol 9, Iss 1, p 2 (2010) |
| ISSN: | 1476-072X |
| DOI: | 10.1186/1476-072x-9-2 |
| Popis: | Background The purpose of this study is to create distribution models of two sand fly species, Phlebotomus papatasi (Scopoli) and P. alexandri (Sinton), across the Middle East. Phlebotomus alexandri is a vector of visceral leishmaniasis, while P. papatasi is a vector of cutaneous leishmaniasis and sand fly fever. Collection records were obtained from literature reports from 1950 through 2007 and unpublished field collection records. Environmental layers considered in the model were elevation, precipitation, land cover, and WorldClim bioclimatic variables. Models were evaluated using the threshold-independent area under the curve (AUC) receiver operating characteristic analysis and the threshold-dependent minimum training presence. Results For both species, land cover was the most influential environmental layer in model development. The bioclimatic and elevation variables all contributed to model development; however, none influenced the model as strongly as land cover. Conclusion While not perfect representations of the absolute distribution of P. papatasi and P. alexandri, these models indicate areas with a higher probability of presence of these species. This information could be used to help guide future research efforts into the ecology of these species and epidemiology of the pathogens that they transmit. |
| Databáze: | OpenAIRE |
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