{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T23:00:45Z","timestamp":1780441245442,"version":"3.54.1"},"reference-count":28,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Stroke is a major cause of death in Thailand. It requires a specific time period of 4.5 h from onset to treatment to increase recovery rates, and therefore, it can be categorized as a time-sensitive disease. The objective of this research is to identify whether the service areas of the main existing Emergency Medical Services (EMS) prehospital stroke practices cover all areas in Bangkok. This is determined by using GIS mapping. After verifying the current EMS delivery models, comparisons are drawn to find the travelling time of each model. The conditioning factors for GIS mapping were collected and verified, including the traffic speed and duration spent in each mode of the prehospital stroke process. After inputting all of the data into GIS, the service areas were visualized to show the area serviced in each delivery model. The results also show the different hospital groups, including the service areas for (1) non-network hospitals and (2) hospitals with stroke networks. Suggestions for re-networking and adding more hospitals to the existing networks were also identified using GIS. Regularly updating the service area with up-to-date data in GIS is key to improving stroke service areas.<\/jats:p>","DOI":"10.3390\/ijgi10100651","type":"journal-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T10:39:20Z","timestamp":1632739160000},"page":"651","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["GIS Mapping Evaluation of Stroke Service Areas in Bangkok Using Emergency Medical Services"],"prefix":"10.3390","volume":"10","author":[{"given":"Kiatirat","family":"Sreemongkol","sequence":"first","affiliation":[{"name":"Graduate School (Logistics and Supply Chain Management), Chulalongkorn University, Bangkok 10330, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manoj","family":"Lohatepanont","sequence":"additional","affiliation":[{"name":"Transportation Institute, Chulalongkorn University, Bangkok 10330, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6399-1225","authenticated-orcid":false,"given":"Pannee","family":"Cheewinsiriwat","sequence":"additional","affiliation":[{"name":"Geography and Geoinformation Research Unit, Department of Geography, Faculty of Arts, Chulalongkorn University, Bangkok 10330, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanyaluk O.","family":"Bunlikitkul","sequence":"additional","affiliation":[{"name":"Nurse Researcher, EC Stroke, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jirapong","family":"Supasaovapak","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine and Narenthorn EMS Center, Rajavithi Hospital, Bangkok 10400, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,27]]},"reference":[{"key":"ref_1","unstructured":"(2019, January 13). 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