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One-year spatiotemporal database of Emergency Medical Service (EMS) calls in Mashhad, Iran: data on 224,355 EMS calls

Authors
  • Hashtarkhani, Soheil1
  • Kiani, Behzad1
  • Mohammadi, Alireza2
  • MohammadEbrahimi, Shahab1
  • Eslami, Saeid1
  • Tara, Mahmood1
  • Matthews, Stephen A.3
  • 1 Mashhad University of Medical Sciences, Mashhad, Iran , Mashhad (Iran)
  • 2 University of Mohaghegh Ardabili, Ardabil, Iran , Ardabil (Iran)
  • 3 The Pennsylvania State University, University Park, PA, USA , University Park (United States)
Type
Published Article
Journal
BMC Research Notes
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Jan 25, 2022
Volume
15
Issue
1
Identifiers
DOI: 10.1186/s13104-022-05905-8
Source
Springer Nature
Keywords
Disciplines
  • Data Notes
License
Green

Abstract

ObjectivesEmergency Medical Services (EMS) is the first point of service for the people who are in critical condition and in need of urgent health care. In Iran, as in other countries, people in need of emergency services often die or are left with a permanent injury due to the poor EMS-related infrastructure. It has been shown that a detailed examination of the response times and the spatiotemporal pattern of EMS calls for service can lead to improvements in time-sensitive patient outcomes. We performed a spatiotemporal study in city of Mashhad, the second-most populous city of Iran, to investigate the pattern of the EMS calls and now wish to release a comprehensive dataset resulting from this study.Data descriptionThe data include three data files plus a data dictionary file. Data file 1 contains the characteristics of EMS requests including sex, age group, date of call, different time periods of each EMS missions, the census tracts’ ID of callers, the chief complaint, and the EMS mission result. Two spatial data files include the boundaries of the census tracts in Mashhad and the point location of all EMS stations, respectively. A data dictionary file defines all fields and values across the data files.

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