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Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59971, first published .
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Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework

Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework

Journals

  1. Guma F. Analysis of influenza-like illness trends in Saudi Arabia: a comparative study of statistical and deep learning techniques. Osong Public Health and Research Perspectives 2025;16(3):270 View
  2. Farsiu N, Rezaie Zadeh Rukerd M, Khodadadpour Mahani F, Zeinali Nezhad N, Rahimi M, Mirtajadini F, Pardeshenas M, Nakhaie M, Hassandarvish P. Emerging and re-emerging vector-borne and other zoonotic RNA viruses: pathogenesis, climate-driven dynamics, and strategies for global control. Frontiers in Microbiology 2026;17 View

Conference Proceedings

  1. Anggita F, Putra Y, Afira N, Suadaa L, Sungkono D, Riza H, Sarkar K. 2025 3rd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE). ClimateSmart Indonesia: An Integrated AI-Driven Platform for Climate-Health Surveillance and Early Warning Systems View