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Article ; Online: How the Italian Formula 1 Grand Prix 2022 Mass Gathering Event Compares to the Arbon Model: A Descriptive Study.

Paleari, Andrea / Spina, Stefano / Marrazzo, Francesco / Ripoll, Alba / Volontè, Fabio / Greco, Gianluca / Zoli, Alberto / Sechi, Giuseppe Maria / Saggiante, Diego / Chiodini, Gianluca / Stucchi, Riccardo / Fumagalli, Roberto

Disaster medicine and public health preparedness

2023  Volume 17, Page(s) e468

Abstract: Objective: To describe the health-care resources implemented during the Italian Formula 1 Grand Prix (F1GP) and to calculate the patient presentation rate (PPR) based on both real data and a prediction model.: Methods: Observational and descriptive ... ...

Abstract Objective: To describe the health-care resources implemented during the Italian Formula 1 Grand Prix (F1GP) and to calculate the patient presentation rate (PPR) based on both real data and a prediction model.
Methods: Observational and descriptive study conducted from September 9 to September 11, 2022, during the Italian F1GP hosted in Monza (Italy). Maurer's formula was applied to decide the number and type of health resources to be allocated. Patient presentation rate (PPR) was computed based on real data (PPR_real) and based on the Arbon formula (PPR_est).
Results: Of 336,000 attendees,
Conclusions: A careful organization of health-care resources could mitigate the impact of the Italian F1GP on local hospital facilities. The Arbon formula is an acceptable model to predict and estimate the number of patients requesting medical assistance, but further investigation needs to be conducted to implement the model and tailor it to broader categories of MGE.
MeSH term(s) Humans ; Emergency Medical Services ; Mass Gatherings ; Crowding ; Anniversaries and Special Events ; Italy
Language English
Publishing date 2023-07-21
Publishing country United States
Document type Observational Study ; Journal Article
ZDB-ID 2375268-3
ISSN 1938-744X ; 1935-7893
ISSN (online) 1938-744X
ISSN 1935-7893
DOI 10.1017/dmp.2023.122
Database MEDical Literature Analysis and Retrieval System OnLINE

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