ARTÍCULO
TITULO

GIS Mapping Evaluation of Stroke Service Areas in Bangkok Using Emergency Medical Services

Kiatirat Sreemongkol    
Manoj Lohatepanont    
Pannee Cheewinsiriwat    
Tanyaluk O. Bunlikitkul and Jirapong Supasaovapak    

Resumen

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.

 Artículos similares

       
 
Wahhaj Ahmed, Baqer Al-Ramadan, Muhammad Asif and Zulfikar Adamu    
Energy and environmental challenges are a major concern across the world and the urban residential building sector, being one of the main stakeholders in energy consumption and greenhouse gas emissions, needs to be more energy efficient and reduce carbon... ver más
Revista: Buildings

 
Cai Wu, Yanwen Wang, Jiong Wang, Menno-Jan Kraak and Mingshu Wang    
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, scalable approach that transcends traditional methodologies. Focusing on six diverse cities, the research employed supervised... ver más

 
Avijit Sarkar, James B. Pick and Shaista Jabeen    
This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb?s short-term rental (STR) marketplace in San Francisco during the years 2019?2022, a four-year period that spans the COVID-19 pandemic. This provides... ver más

 
Feiyan Yu, Erik Champion and David McMeekin    
The Australian Time Layered Cultural Map platform was created to help digital humanities scholars investigate how online geospatial tools could provide exemplars to their humanities colleagues on how historical collections and cultural data could be exte... ver más

 
Zengkang Lu, Chenglong Yu, Huanan Liu, Jiquan Zhang, Yichen Zhang, Jie Wang and Yanan Chen    
Collapses are one of the most common geological disasters in mountainous areas, which easily damage buildings and infrastructures and bring huge property losses to people?s production and life. This paper uses Huinan County as the study area, and with th... ver más