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

Heidema S 1 , Stoepker IV 1 , Flaherty G 2 , Angelo KM 3 , Post RAJ 1 , Miller C 3 Show all authors , Libman M 4 , Hamer DH 5 , van den Heuvel ER 1 , Huits R 6

Affiliations 

  • 1 Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
  • 2 School of Medicine, University of Galway, University Road, Galway, H91 TK33, Ireland
  • 3 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
  • 4 J.D. MacLean Centre for Tropical Diseases, McGill University, Room E05.1830, 1001 Boulevard Décarie, Montréal, Québec H4A 3J1, Canada
  • 5 Department of Global Health, Boston University School of Public Health, Crosstown 308, 801 Massachusetts Avenue, Boston, MA 02118, USA
  • 6 Department of Infectious Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, 37024, Via Don A Sempreboni 5, Negrar di Valpolicella, Verona, Italy
J Travel Med, 2024 Jun 03;31(4).
PMID: 38236181 DOI: 10.1093/jtm/taae013

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications