Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classification.

Journal: Scandinavian journal of trauma, resuscitation and emergency medicine
PMID: 33789721

Abstract

OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators in order to monitor both the epidemic growth and potential public health consequences of preventative measures such as lockdown. We assessed whether the automatic classification of the content of calls to emergency medical communication centers could provide relevant and responsive indicators.

Authors

  • CĂ©dric Gil-JardinĂ©
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Gabrielle Chenais
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Catherine Pradeau
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Eric Tentillier
    University Hospital of Bordeaux, Pole of Emergency Medicine, Bordeaux, France.
  • Philippe Revel
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Xavier Combes
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Michel Galinski
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Eric Tellier
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France.
  • Emmanuel Lagarde
    Inserm, ISPED, University of Bordeaux, Bordeaux Population Health Research Center Inserm U1219 Injury Epidemiology Transport Occupation team, Bordeaux, France. Emmauel.lagarde@u-bordeaux.fr.

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