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Innovative Methods in Public Health and Surveillance (493) Public (e)Health, Digital Epidemiology and Public Health Informatics (2200) Statistical Methods for Surveillance and Population Health (243) Infectious Diseases (non-STD/STI) (1894)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86495, first published .
Doctor discussing with patients in front of a lung graphic and a hospital

Predicting Tuberculosis Outcomes Using Routine Surveillance Data in Chiang Mai, Thailand: Retrospective Cohort Study

Predicting Tuberculosis Outcomes Using Routine Surveillance Data in Chiang Mai, Thailand: Retrospective Cohort Study

Authors of this article:

Porramat Saksaen1 Author Orcid Image ;   Ekkarat Boonchieng2 Author Orcid Image ;   Aksara Thongprachum1 Author Orcid Image ;   Surasak Maotheuak3 Author Orcid Image ;   Sineenart Chautrakarn1 Author Orcid Image ;   Waraporn Boonchieng1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Porramat Saksaen   1 , MNS ;   Ekkarat Boonchieng   2 , PhD ;   Aksara Thongprachum   1 , PhD ;   Surasak Maotheuak   3 , PhD ;   Sineenart Chautrakarn   1 , PhD ;   Waraporn Boonchieng   1 , DrPH

1 Faculty of Public Health, Chiang Mai University, Chiang Mai, Thailand

2 Faculty of Science, Department of Computer Science, Chiang Mai University, Chiang Mai, Thailand

3 Faculty of Education, Department of Curriculum, Teaching & Learning, Chiang Mai University, Chiang Mai, Thailand

Corresponding Author:

  • Waraporn Boonchieng, DrPH
  • Faculty of Public Health, Chiang Mai University
  • 239 Huay Kaew Road, Muang District
  • Chiang Mai 50200
  • Thailand
  • Phone: 66 53 942525
  • Email: waraporn.b@cmu.ac.th