000 01303 a2200373 4500
005 20250517235506.0
264 0 _c20181211
008 201812s 0 0 eng d
022 _a1873-6254
024 7 _a10.1016/j.actatropica.2018.09.004
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aMollalo, Abolfazl
245 0 0 _aMachine learning approaches in GIS-based ecological modeling of the sand fly Phlebotomus papatasi, a vector of zoonotic cutaneous leishmaniasis in Golestan province, Iran.
_h[electronic resource]
260 _bActa tropica
_cDec 2018
300 _a187-194 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAnimals
650 0 4 _aArea Under Curve
650 0 4 _aEcosystem
650 0 4 _aEnvironment
650 0 4 _aGeographic Information Systems
650 0 4 _aInsect Vectors
650 0 4 _aIran
_xepidemiology
650 0 4 _aLeishmaniasis, Cutaneous
_xepidemiology
650 0 4 _aMachine Learning
650 0 4 _aPhlebotomus
700 1 _aSadeghian, Ali
700 1 _aIsrael, Glenn D
700 1 _aRashidi, Parisa
700 1 _aSofizadeh, Aioub
700 1 _aGlass, Gregory E
773 0 _tActa tropica
_gvol. 188
_gp. 187-194
856 4 0 _uhttps://doi.org/10.1016/j.actatropica.2018.09.004
_zAvailable from publisher's website
999 _c28822033
_d28822033