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

Details

• Alternative Title:
  J Travel Med
• Personal Author:
  Heidema, Stan ; Stoepker, Ivo V. ; Flaherty, Gerard ; Angelo, Kristina M. ; Post, Richard A. J. ; Miller, Charles ; Libman, Michael ; Hamer, Davidson H. ; van den Heuvel, Edwin R. ; Huits, Ralph
• Subjects:
  • Humans
  • Artificial Intelligence
  • Disease Outbreaks
  • Communicable Diseases
• Keywords:
  • Sentinel event
  • disease surveillance
  • travel medicine
  • outbreak detection
  • artificial intelligence
  • data science
• Source:
  J Travel Med. 31(4)
• Pubmed ID:
  38236181
• Pubmed Central ID:
  PMC11287261
• Document Type:
  Journal Article
• Funding:
  Eindhoven University of Technology/ ; U50 CK000189/CK/NCEZID CDC HHSUnited States/ ; Public Health Agency of Canada/ ; U01 CK000632/CK/NCEZID CDC HHSUnited States/ ; CC999999/ImCDC/Intramural CDC HHSUnited States/ ; 1 U01CK000632-01-00/International Society of Travel Medicine/
• Volume:
  31
• Issue:
  4
• Download URL:
  https://stacks.cdc.gov/view/cdc/159476/cdc_159476_DS1.pdf
• File Type:
  [PDF - 56.40 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:507ae52e202afb6dc70f12a2d717e54faff1314cefb94f45a8aa25857bf211ebb77805ce269c91640303a497e690e97f137da9a7adc7b195a059ddf62893ff1d