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Statistical modeling of emergency medical services’ response and rescue times to road traffic crashes in the Kingdom of Saudi Arabia

  • Published:2022-12 Issue:4 Volume:10 Page:2563-2575
  • ISSN:2213-624X
  • Container-title:Case Studies on Transport Policy
  • language:en
  • Short-container-title:Case Studies on Transport Policy

Author:

Al-Zabidi Ayoub,Almannaa Mohammed,Elhenawy Mohammed,Gharbi Anis

Publisher

Elsevier BV

Subject

Urban Studies,Transportation,Geography, Planning and Development

Reference89 articles.

1. Epidemiology and outcomes from out-of-hospital cardiac arrest in Kuwait;Al Hasan;Emerg. Med. Int.,2020

2. A Traffic Patrol Vehicles’ Allocation Model for Riyadh;AlGadhi;Sci. J. Econ. Commerce,1994

3. Emergency medical service rescue times in Riyadh;Al-Ghamdi;Acc. Anal. Prevent.,2002

4. The SAGE encyclopedia of communication research methods;Allen,2017

5. Epidemiology of non-transported emergency medical services calls in Saudi Arabia;Alrazeeni;Saudi Med. J.,2016

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1. Research on cross regional emergency material scheduling algorithm based on seed optimization algorithm;Scientific Reports;2023-12-11

2. Artificial intelligence in emergency medicine. A systematic literature review;International Journal of Medical Informatics;2023-12

3. Time-Series Forecasting of Injury Cases in the Kingdom of Saudi Arabia;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13

4. Design Science Research in Developing Traffic Urgency Model From Text for Determining Transportation Complaint Priority - an Initial Investigation;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

5. Analyzing Traffic-Complaint Tweets Based on Time-Location Context Analysis to Develop A Traffic Urgency Model;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18
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