This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740)

Published on in Vol 8, No 1 (2016):

A Digital Platform for Local Foodborne Illness and Outbreak Surveillance

A Digital Platform for Local Foodborne Illness and Outbreak Surveillance

A Digital Platform for Local Foodborne Illness and Outbreak Surveillance

Authors of this article:

Jared B. Hawkins ;   Gaurav Tuli ;   Sheryl Kluberg ;   Jenine Harris ;   John S. Brownstein ;   Elaine Nsoesie
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Mertz L. What Can Big Data Tell Us About Health?: Finding Gold Through Data Mining. IEEE Pulse 2016;7(5):40 View
  2. Harris J, Hinyard L, Beatty K, Hawkins J, Nsoesie E, Mansour R, Brownstein J. Evaluating the Implementation of a Twitter-Based Foodborne Illness Reporting Tool in the City of St. Louis Department of Health. International Journal of Environmental Research and Public Health 2018;15(5):833 View
  3. Wesson P, Hswen Y, Valdes G, Stojanovski K, Handley M. Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health. Annual Review of Public Health 2022;43(1):59 View
  4. Hswen Y, Naslund J, Chandrashekar P, Siegel R, Brownstein J, Hawkins J. Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Research 2017;257:479 View
  5. Hswen Y, Naslund J, Brownstein J, Hawkins J. Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media. Psychiatric Quarterly 2018;89(3):569 View
  6. Adams N, Artigiani E, Wish E. Choosing Your Platform for Social Media Drug Research and Improving Your Keyword Filter List. Journal of Drug Issues 2019;49(3):477 View

Books/Policy Documents

  1. Zeng D, Cao Z, Neill D. Artificial Intelligence in Medicine. View