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Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement

Angelo Auricchio1,2*, Stefano Peluso3,4, Maria Luce Caputo1,5, Jost Reinhold3,
Claudio Benvenuti2, Roman Burkart2, Roberto Cianella6, Catherine Klersy7,
Enrico BaldiID
1,5,8, Antonietta Mira3,9

  1. Fondazione TicinoCuore, Breganzona, Switzerland

  2. Division of Cardiology, Cardiocentro Ticino, Lugano, Switzerland

  3. Data Science Lab, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland

  4. Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy,

  5. Department of Molecular Medicine, Section of Cardiology, University of Pavia, Pavia, Italy

  6. Federazione Cantonale Ticinese Servizi Autoambulanze, Lugano, Switzerland

  7. Unit of Clinical Epidemiology & Biometry,
    IRCCS Fondazione Policlinico san Matteo, Pavia, Italy

  8. Cardiac Intensive Care Unit, Arrhythmia and
    Electrophysiology and Experimental Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy

  9. Department of Science and High Technology, University of Insubria, Como, Italy

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Real-life time and distance covered by lay first responders alerted by means of smartphone-application