Modelling and Simulation for Major Incidents

Authors

  • Eleonora Pacciani University of Rome Tor Vergata image/svg+xml
  • Alessandro Borri CNR-IASI Biomathematics Laboratory, Rome
  • Paolo Maurizio Soave Catholic University of the Sacred Heart image/svg+xml
  • Daniele Gui Catholic University of the Sacred Heart image/svg+xml
  • Sabina Magalini Catholic University of the Sacred Heart image/svg+xml
  • Simona Panunzi CNR-IASI Biomathematics Laboratory, Rome
  • Claudio Roberto Gaz CNR-IASI Biomathematics Laboratory, Rome
  • Pasquale Gaudio University of Rome Tor Vergata image/svg+xml
  • Andrea Malizia University of Rome Tor Vergata image/svg+xml
  • Andrea De Gaetano CNR-IASI Biomathematics Laboratory, Rome

DOI:

https://doi.org/10.4108/icst.pervasivehealth.2015.259178

Keywords:

predictive models for adverse outcomes, personalized patient treatment, health monitoring applications

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.

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Published

03-08-2015

How to Cite

1.
Pacciani E, Borri A, Soave PM, Gui D, Magalini S, Panunzi S, Roberto Gaz C, Gaudio P, Malizia A, Gaetano AD. Modelling and Simulation for Major Incidents. EAI Endorsed Trans Perv Health Tech [Internet]. 2015 Aug. 3 [cited 2024 Nov. 22];1(4):e3. Available from: https://publications.eai.eu/index.php/phat/article/view/1345