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Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran's three distinct climatic zones: a MaxEnt machine-learning algorithm.

Autor: Meshgi B; Department of Parasitology, Faculty of Veterinary Medicine, University of Tehran, P.O.Box 14155-6453, Tehran, Iran. bmeshgi@ut.ac.ir., Hanafi-Bojd AA; Department of Vector Biology and Control of Diseases, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.; Zoonoses Research Center, Tehran University of Medical Sciences, Tehran, Iran., Fathi S; Department of Parasite Vaccine Research and Production, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Modabbernia G; Department of Parasitology, Faculty of Veterinary Medicine, University of Tehran, P.O.Box 14155-6453, Tehran, Iran., Meshgi K; Graduated Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran., Shadman M; Department of Parasitology, Faculty of Veterinary Medicine, University of Tehran, P.O.Box 14155-6453, Tehran, Iran.

Publikováno v: Scientific reports [Sci Rep] 2024 Feb 03; Vol. 14 (1), pp. 2828. Date of Electronic Publication: 2024 Feb 03.