Iberoamerican Journal of Medicine
https://iberoamjmed.com/article/doi/10.53986/ibjm.2026.0004
Iberoamerican Journal of Medicine
Editorial

The role of artificial intelligence in the epidemiological surveillance of infectious diseases

El papel de la inteligencia artificial en la vigilancia epidemiológica de las enfermedades infecciosas

Gilberto Bastidas

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References

1. Honeyman D, Gurdasani D, Notaras A, Akhtar Z, Edgeworth J, Moa A, et al. Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022. Emerg Infect Dis. 2025;31(2):298-308. doi: 10.3201/eid3102.240533.
2. Gawande MS, Zade N, Kumar P, Gundewar S, Weerarathna IN, Verma P. The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development. Mol Biomed. 2025;6(1):1. doi: 10.1186/s43556-024-00238-3.
3. Moccia C, Moirano G, Popovic M, Pizzi C, Fariselli P, Richiardi L, et al. Machine learning in causal inference for epidemiology. Eur J Epidemiol. 2024;39(10):1097-108. doi: 10.1007/s10654-024-01173-x.
4. Chumachenko D, Morita PP, Ghaffarian S, Chumachenko T. Editorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities. Front Public Health. 2024;12:1439914. doi: 10.3389/fpubh.2024.1439914.
5. Kraemer MUG, Tsui JL, Chang SY, Lytras S, Khurana MP, Vanderslott S, et al. Artificial intelligence for modelling infectious disease epidemics. Nature. 2025;638(8051):623-35. doi: 10.1038/s41586-024-08564-w.


Submitted date:
11/24/2025

Reviewed date:
01/20/2026

Accepted date:
01/20/2026

Publication date:
01/20/2026

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