Dataset of AI models for early outbreak prediction
The extraction table of an ongoing systematic review of AI and machine learning models for the early prediction of infectious disease outbreaks.
- DOI
- 10.5281/zenodo.21980058
- Scope
- 41 studies from 2024–2025, 22 fields
- Dataset license
- CC BY 4.0
- Access
- Free, on Zenodo
Public record
DOI 10.5281/zenodo.21980058
The dataset is open access on Zenodo under a CC BY 4.0 license: you can download it for free as CSV and XLSX from its DOI.
Medina Salcedo, D. L., Alonso Rincón, R. S., & Hassan Montero, Y. (2026). Extraction table for a systematic review of AI/ML models for early prediction of infectious disease outbreaks (2024–2025) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.21980058
See the dataset on Zenodo (opens in a new tab)What it covers
The table gathers, study by study, 41 peer-reviewed studies from 2024–2025 on artificial intelligence and machine learning models to predict infectious disease outbreaks using climatic, sociodemographic and open data. It has 22 coded fields: bibliographic data, target diseases, data sources, model types, performance metrics, explainability, risk of bias and citation counts. It is the extraction table of an ongoing systematic review.
Open access
The dataset is open access on Zenodo under a CC BY 4.0 license: you can download it for free as CSV and XLSX from its DOI.
Open access
Use it and cite it: access is open and free.