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Presentations, Abstracts, or Demonstrations (740)

Published on in Vol 7, No 1 (2015):

JMIR Publications logo: Advancing Digital Health & Open Science

A Term-based Approach to Asyndromic Determination of Significant Case Clusters

A Term-based Approach to Asyndromic Determination of Significant Case Clusters

Authors of this article:

Howard Burkom ;   Yevgeniy Elbert ;   Christine Piatko ;   Clay Fink
The full text of this article is available as a PDF download by clicking here.
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  2. Aronis J, Ye Y, Espino J, Hochheiser H, Michaels M, Cooper G. A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation. JMIR Public Health and Surveillance 2024;10:e57349 View
  3. Aronis J, Ferraro J, Gesteland P, Tsui F, Ye Y, Wagner M, Cooper G, d’Onofrio A. A Bayesian approach for detecting a disease that is not being modeled. PLOS ONE 2020;15(2):e0229658 View
  4. Nobles M, Lall R, Mathes R, Neill D. Presyndromic surveillance for improved detection of emerging public health threats. Science Advances 2022;8(44) View
  5. Aronis J, Ye Y, Espino J, Michaels M, Hochheiser H, Cooper G. An evaluation of a Bayesian method to track outbreaks of known and novel influenza-like illnesses. Scientific Reports 2026;16(1) View
  6. Greene S, Levin-Rector A, Kulldorff M, Lall R. Asyndromic surveillance of New York City emergency department diagnoses with the tree-temporal scan statistic. Journal of Public Health Research 2026;15(2) View