Mollalo, Abolfazl <br/><br/>
Machine learning approaches in GIS-based ecological modeling of the sand fly Phlebotomus papatasi, a vector of zoonotic cutaneous leishmaniasis in Golestan province, Iran.  [electronic resource] 

 -  Acta tropica  Dec 2018 
 - 187-194 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1873-6254 
<br/><br/><label>Standard No.: </label>10.1016/j.actatropica.2018.09.004  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Animals<br/>Area Under Curve<br/>Ecosystem<br/>Environment<br/>Geographic Information Systems<br/>Insect Vectors<br/>Iran--epidemiology<br/>Leishmaniasis, Cutaneous--epidemiology<br/>Machine Learning<br/>Phlebotomus