Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data.

Hashtarkhani, Soheil; A Matthews, Stephen; Yin, Ping; Mohammadi, Alireza; MohammadEbrahimi, Shahab; Tara, Mahmood; Kiani, Behzad

Hashtarkhani, Soheil; A Matthews, Stephen; Yin, Ping; Mohammadi, Alireza; MohammadEbrahimi, Shahab; Tara, Mahmood; Kiani, Behzad.

Afiliación

Hashtarkhani S; Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN. S.Hashtarkhani@gmail.com.
A Matthews S; Department of Sociology and Criminology, and Department of Anthropology, The Pennsylvania State University, University Park, PA. sxm27@psu.edu.
Yin P; Department of Geography, University of Mary Washington, Fredericksburg, Virginia. pyin@umw.edu.
Mohammadi A; Department of Geography and Urban Planning, Faculty of Social Sciences, University of MohagheghArdabili, Ardabil. AlirezaMohammadi20142014@gmail.com.
MohammadEbrahimi S; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad. shahabodd@gmail.com.
Tara M; Rajaei Heart Institute, Tehran. Taram@mums.ac.ir.
Kiani B; School of Public Health, University of Montreal, Montreal. Kiani.behzad@gmail.com.

Geospat Health ; 18(2)2023 07 20.

Article en En | MEDLINE | ID: mdl-37470292

Asunto(s)

Ambulancias; Servicios Médicos de Urgencia; Factores de Tiempo; Sistemas de Información Geográfica; Irán

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Ambulancias / Servicios Médicos de Urgencia Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Geospat Health Año: 2023 Tipo del documento: Article País de afiliación: Túnez

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