Social media mining for public health monitoring and surveillance

Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

103 Citations (Scopus)
37 Downloads (Pure)


This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

Original languageEnglish
Title of host publicationBiocomputing 2016
Subtitle of host publicationProceedings of the Pacific Symposium
EditorsRuss B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein
Place of PublicationSingapore
PublisherWorld Scientific Publishing
Number of pages12
ISBN (Electronic)9789814749428
ISBN (Print)9789814749404
Publication statusPublished - 2016
Externally publishedYes
Event21st Pacific Symposium on Biocomputing, PSB 2016 - Kohala Coast, United States
Duration: 4 Jan 20168 Jan 2016


Conference21st Pacific Symposium on Biocomputing, PSB 2016
Country/TerritoryUnited States
CityKohala Coast

Bibliographical note

Copyright the Publisher 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Social media
  • data mining
  • natural language processing
  • public health


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