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意大利1级方程式大奖赛2022年大众集会活动与阿尔本模型相比如何:描述性研究
Andrea Paleari1, Stefano Spina1,2, Francesco Marrazzo1,2
1Agenzia Regionale Emergenza Urgenza (AREU), Milan, Lombardy, Italy.
Disaster medicine and public health preparedness
|July 21, 2023
概括
在意大利一级方程式大奖赛 (F1GP) 期间,263名参赛者需要医疗援助. 一个预测模型显示了有效管理患者流和医疗保健资源的潜力.
科学领域:
- 紧急医疗 紧急医疗
- 公共卫生 公共卫生
- 事件管理事件管理
背景情况:
- 一级方程式大奖赛 (F1GP) 赛事吸引了大量人群,需要强有力的医疗保健计划.
- 评估医疗保健资源分配和患者出诊率 (PPR) 对于管理大规模集会至关重要.
研究的目的:
- 详细介绍意大利F1GP.部署的医疗保健资源.
- 使用真实数据和预测模型计算患者呈现率 (PPR).
主要方法:
- 在2022年在蒙扎举行的意大利F1GP期间进行的一项观察性描述性研究.
- 毛勒的公式指导医疗保健资源的分配.
- 使用真实数据 (PPR_real) 和Arbon公式 (PPR_est) 计算的PPR.
主要成果:
- 在336,000名与会者中,有263人寻求医疗援助;16人需要住院治疗.
- PPR_real每天变化,周日达到134的峰值.
- PPR_est建议一个一致的每日速率在90-97左右,总共为221次.
结论:
- 有效的医疗保健组织可以减少F1GP事件对当地医院的压力.
- 阿尔本公式提供了一种可行的方法,用于预测大规模集会的患者数量.
- 需要进一步的研究来完善各种大规模聚集类型的预测模型.
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