phat 15(4): e3

Research Article

Modelling and Simulation for Major Incidents

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  • @ARTICLE{10.4108/icst.pervasivehealth.2015.259178,
        author={Eleonora Pacciani and Alessandro Borri and Paolo Maurizio Soave and Daniele Gui and Sabina Magalini and Simona Panunzi and Claudio Roberto Gaz and Pasquale Gaudio and Andrea Malizia and Andrea De Gaetano},
        title={Modelling and Simulation for Major Incidents},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={1},
        number={4},
        publisher={EAI},
        journal_a={PHAT},
        year={2015},
        month={8},
        keywords={predictive models for adverse outcomes, personalized patient treatment, health monitoring applications},
        doi={10.4108/icst.pervasivehealth.2015.259178}
    }
    
  • Eleonora Pacciani
    Alessandro Borri
    Paolo Maurizio Soave
    Daniele Gui
    Sabina Magalini
    Simona Panunzi
    Claudio Roberto Gaz
    Pasquale Gaudio
    Andrea Malizia
    Andrea De Gaetano
    Year: 2015
    Modelling and Simulation for Major Incidents
    PHAT
    EAI
    DOI: 10.4108/icst.pervasivehealth.2015.259178
Eleonora Pacciani1, Alessandro Borri2,*, Paolo Maurizio Soave3, Daniele Gui3, Sabina Magalini3, Simona Panunzi2, Claudio Roberto Gaz2, Pasquale Gaudio1, Andrea Malizia1, Andrea De Gaetano2
  • 1: University of Tor Vergata, Rome, Italy
  • 2: CNR-IASI Biomathematics Laboratory, Rome, Italy
  • 3: Catholic University of the Sacred Heart, Rome, Italy
*Contact email: alessandro.borri@iasi.cnr.it

Abstract

In recent years, there has been a rise in Major Incidents with big impact on the citizens health and the society. Without the possibility of conducting live experiments when it comes to physical and/or toxic trauma, only an accurate in silico reconstruction allows us to identify organizational solutions with the best possible chance of success, in correlation with the limitations on available resources (e.g. medical team, first responders, treatments, transports, and hospitals availability) and with the variability of the characteristic of event (e.g. type of incident, severity of the event and type of lesions).

Utilizing modelling and simulation techniques, a simplified mathematical model of physiological evolution for patients involved in physical and toxic trauma incident scenarios has been developed and implemented. The model formalizes the dynamics, operating standards and practices of medical response and the main emergency service in the chain of emergency management during a Major Incident.