TY - JOUR
T1 - One-year spatiotemporal database of Emergency Medical Service (EMS) calls in Mashhad, Iran
T2 - data on 224,355 EMS calls
AU - Hashtarkhani, Soheil
AU - Kiani, Behzad
AU - Mohammadi, Alireza
AU - MohammadEbrahimi, Shahab
AU - Eslami, Saeid
AU - Tara, Mahmood
AU - Matthews, Stephen A.
N1 - Funding Information:
This project is funded by Mashhad University of Medical Sciences (Grant Number: 970861).
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Objectives: Emergency 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 description: The 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.
AB - Objectives: Emergency 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 description: The 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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U2 - 10.1186/s13104-022-05905-8
DO - 10.1186/s13104-022-05905-8
M3 - Article
C2 - 35078516
AN - SCOPUS:85123606915
SN - 1756-0500
VL - 15
JO - BMC Research Notes
JF - BMC Research Notes
IS - 1
M1 - 22
ER -