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  1. Using regression analysis to predict emergency patient volume at the Indianapolis 500 mile race.

    Article - En anglais


    Emergency physicians often plan and provide on-site medical care for mass gatherings.

    Most of the mass gathering literature is descriptive.

    Only a few studies have looked at factors such as crowd size, event characteristics, or weather in predicting numbers and types of patients at mass gatherings.


    We used regression analysis to relate patient volume on Race Day at the Indianapolis Motor Speedway to weather conditions and race characteristics.


    Race Day weather data for the year 1983 to 1989 were obtained from the National Oceanic and Atmospheric Administration.

    Mots-clés Pascal : Planification, Urgence, Prédiction, Soin, Service hospitalier, Course automobile, Condition météorologique, Analyse régression, Foule, Modèle, Indiana, Etats Unis, Amérique du Nord, Amérique, Homme

    Mots-clés Pascal anglais : Planning, Emergency, Prediction, Care, Hospital ward, Road race, Atmospheric condition, Regression analysis, Crowd, Models, Indiana, United States, North America, America, Human

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 93-0075044

    Code Inist : 002B30A01C. Création : 199406.