From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks.

Journal: Journal of travel medicine
Published Date:

Abstract

No abstract available for this article.

Authors

  • Stan Heidema
    Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Ivo V Stoepker
    Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Gerard Flaherty
    School of Medicine, University of Galway, University Road, Galway, H91 TK33, Ireland.
  • Kristina M Angelo
    Division of Global Migration and Health, National Center for Emerging and Zoonotic Infectious Disease, Centers for Disease Control and Prevention, 1600 Clifton Rd NE, Atlanta, GA 30329, USA.
  • Richard A J Post
    From the Department of Mathematics and Computer Science, Eindhoven University of Technology, the Netherlands.
  • Charles Miller
    Division of Global Migration and Health, National Center for Emerging and Zoonotic Infectious Disease, Centers for Disease Control and Prevention, 1600 Clifton Rd NE, Atlanta, GA 30329, USA.
  • Michael Libman
    J.D. MacLean Centre for Tropical Diseases, McGill University, Room E05.1830, 1001 Boulevard Décarie, Montréal, Québec H4A 3J1, Canada.
  • Davidson H Hamer
    Department of Global Health, Boston University School of Public Health, Crosstown 308, 801 Massachusetts Avenue, Boston, MA 02118, USA.
  • Edwin R van den Heuvel
    From the Department of Mathematics and Computer Science, Eindhoven University of Technology, the Netherlands.
  • Ralph Huits
    Department of Infectious Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, 37024, Via Don A Sempreboni 5, Negrar di Valpolicella, Verona, Italy.