Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline

  • John Caskey
  • , Iain L. McConnell
  • , Madeline Oguss
  • , Dmitriy Dligach
  • , Rachel Kulikoff
  • , Brittany Grogan
  • , Crystal Gibson
  • , Elizabeth Wimmer
  • , Traci E. DeSalvo
  • , Edwin E. Nyakoe-Nyasani
  • , Matthew M. Churpek
  • , Majid Afshar

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numbere36119
JournalJMIR public health and surveillance
Volume8
Issue number3
DOIs
StatePublished - Mar 1 2022

ASJC Scopus Subject Areas

  • Health Informatics
  • Public Health, Environmental and Occupational Health

Keywords

  • contact tracing
  • COVID-19
  • digital health
  • digital surveillance tool
  • disease surveillance
  • electronic surveillance
  • named entity recognition
  • natural language processing
  • neural language model
  • outbreaks
  • public health
  • public health informatics

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