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All Journal Jurnal Ilmiah Manusia dan Kesehatan
Pontoh, Abdul Haris
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Humanities Environmental Science Health Professions Nursing Public Health

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Artificial Intelligence Techniques For Predicting Pandemic Diseases: Systematic Literature Review Maulana, Fariz; Marina, Marina; Pontoh, Abdul Haris; Sudirman, Sudirman; Yani, Ahmad
Jurnal Ilmiah Manusia Dan Kesehatan Vol. 9 No. 2 (2026): Jurnal Ilmiah MANUSIA DAN KESEHATAN
Publisher : FAKULTAS ILMU KESEHATAN UNIVERSITAS MUHAMMADIYAH PAREPARE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/makes.v9i2.4355

Abstract

The rapid emergence of global pandemics necessitates accurate and adaptive predictive systems to support public health decision-making. This study aims to systematically review Artificial Intelligence techniques for predicting pandemic diseases and to evaluate the methodological quality and potential bias of existing empirical research. The research employed a Systematic Literature Review approach guided by PRISMA, with database searches conducted in Scopus, Web of Science, ScienceDirect, and Google Scholar. The selection process yielded ten empirical quantitative and qualitative studies, which were assessed using the Joanna Briggs Institute critical appraisal criteria to evaluate methodological rigor and risk of bias. The findings indicate that machine learning, deep learning, and transformer-based architectures achieve high predictive accuracy in forecasting infection probability, disease severity, and epidemic trends. Most studies demonstrated robust validation strategies, including cross-validation and clearly reported performance metrics. Nevertheless, recurring limitations such as data bias, limited population generalizability, and temporal bias remain significant methodological challenges in AI-based pandemic prediction research. Overall, Artificial Intelligence techniques demonstrate substantial potential in strengthening global pandemic preparedness and enhancing evidence-based public health responses.
Co-Authors ahmad yani Marina Marina Maulana, Fariz Sudirman Sudirman