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Health in Emergencies and Disasters Quarterly، جلد ۱۰، شماره ۴، صفحات ۰-۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Estimating the Demand for Ambulances in Traffic Accidents |
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| چکیده انگلیسی مقاله |
Background: Effective Emergency medical service delivery in road traffic accidents requires accurate resource planning that relies on operational, tactical, and strategic demand forecasts. This study aims to estimate the demand for ambulances in traffic accidents using time series modeling techniques.
Methods: We conducted a retrospective cohort analysis of ambulance demands related to traffic incidents in Golestan Province, Iran. The analysis of individual time series was utilized for demand prediction. Then, we applied statistical methods to present the performance indicators.
Results: This research examined 37409 calls that led to ambulance dispatch from March 2021 to March 2023. According to the examination of traffic collision data, the demand rate is greater during the daytime compared to nighttime. Nonetheless, ambulance responses to deadly accidents take place more frequently at night compared to daytime. Our analysis indicates that demand will vary between 2400 and 800 with a 90% confidence level. Additionally, at an 80% confidence level, the demand range is expected to be between 300 and 2800.
Conclusion: By analyzing the historical data, we have identified a trend and seasonal patterns in the data, which suggests an increase in demand during the summer months. Forecasting the course of service recipients in the prehospital emergency service can increase situational awareness and help manage the challenges caused by overcrowding. By anticipating the surge in demand for services during peak periods, it is possible to plan and allocate resources effectively and minimize delays. |
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| کلیدواژه‌های انگلیسی مقاله |
Time series, Estimating, Traffic accidents, Emergency medical service, Ambulance |
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| نویسندگان مقاله |
| Manoochehr Babanezhad
Department of Statistics, Faculty of Sciences, Golestan University, Gorgan, Iran.
| Hassan Khorsha
Department of Management of statistics and information technology ,Golestan University of Medical Sciences, Gorgan, Iran.
| Ali Mohajervatan
Department of Anesthesia and Prehospital Emergency care, School of Paramedical Sciences, Golestan University of Medical Sciences, Gorgan, Iran.
| Ali Choori
Department of Humanities and Sport Science, Faculty of Sport Sciences, University of Gonbad Kavous, Gonbad, Iran.
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| نشانی اینترنتی |
http://hdq.uswr.ac.ir/browse.php?a_code=A-10-149-8&slc_lang=en&sid=1 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
اورژانس |
| نوع مقاله منتشر شده |
پژوهشی |
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