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Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach

Geospatial health, 2021-10, Vol.16 (2) [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2021.1043

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  • Title:
    Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach
  • Author: Hashtarkhani, Soheil ; Kiani, Behzad ; Mohammadi, Alireza ; MohammadEbrahimi, Shahab ; Dehghan-Tezerjani, Mohammad ; Samimi, Tahereh ; Tara, Mahmood ; Matthews, Stephen A.
  • Subjects: ambulance calls ; emergency medical service ; Geographical information systems ; Iran ; space-time clustering ; Urban areas
  • Is Part Of: Geospatial health, 2021-10, Vol.16 (2)
  • Description: Pre-hospital care is provided by emergency medical services (EMS) staff, the initial health care providers at the scene of disaster. This study aimed to describe the characteristics of EMS callers and space-time distribution of emergency requests in a large urban area. Descriptive thematic maps of EMS requests were created using an empirical Bayesian smoothing approach. Spatial, temporal and spatio-temporal clustering techniques were applied to EMS data based on Kulldorff scan statistics technique. Almost 225,000 calls were registered in the EMS dispatch centre during the study period. Approximately two-thirds of these calls were associated with an altered level of patient consciousness, and the median response time for rural and urban EMS dispatches was 12.2 and 10.1 minutes, respectively. Spatio-temporal clusters of EMS requests were mostly located in central parts of the city, particularly near the downtown area. However, high-response time clustered areas had a low overlap with these general, spatial clusters. This low convergence shows that some unknown factors, other than EMS requests, influence the high-response times. The findings of this study can help policymakers to better allocate EMS resources and implement tailored interventions to enhance EMS system in urban areas.
  • Publisher: Naples: PAGEPress Publications
  • Language: English;Italian
  • Identifier: ISSN: 1827-1987
    EISSN: 1970-7096
    DOI: 10.4081/gh.2021.1043
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    Coronavirus Research Database
    ProQuest Central
    DOAJ Directory of Open Access Journals
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