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Original research
Development of machine learning-based mpox surveillance models in a learning health system

Authors

  • Harry Reyes Nieva Department of Biomedical Informatics, Columbia University, New York, New York, USADepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USADivision of Infectious Diseases, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Jason Zucker Department of Biomedical Informatics, Columbia University, New York, New York, USADivision of Infectious Diseases, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Emma Tucker Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA PubMed articlesGoogle scholar articles
  • Jacob McLean Division of Infectious Diseases, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Clare DeLaurentis Division of Infectious Diseases, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Shauna Gunaratne Division of Infectious Diseases, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA PubMed articlesGoogle scholar articles
  • Noémie Elhadad Department of Biomedical Informatics, Columbia University, New York, New York, USADepartment of Computer Science, Columbia University, New York, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Harry Reyes Nieva; harry.reyes{at}columbia.edu
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Citation

Reyes Nieva H, Zucker J, Tucker E, et al
Development of machine learning-based mpox surveillance models in a learning health system
Sexually Transmitted Infections Published Online First: 02 May 2025. doi: 10.1136/sextrans-2024-056382

Publication history

  • Received October 7, 2024
  • Accepted April 13, 2025
  • First published May 2, 2025.

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© Author(s) (or their employer(s)) 2025. No commercial re-use. See rights and permissions. Published by BMJ Group.