- Research Article
- 10.64784/133
Transforming Public Health Surveillance: Big Data Integration and Predictive Decision-Making in the Digital Era
- Feb 23, 2026
- IECCMEXICO
- Marlies Solís Rodríguez + 7 more +7
The evolution of public health surveillance has accelerated in response to digital transformation, expanding from traditional reporting systems toward integrated, data-driven epidemiological frameworks. This review analyzes how digital surveillance systems, big data analytics, and predictive modeling approaches influence population-level decision-making within international contexts, with particular attention to Latin American settings including Mexico, Colombia, and Ecuador. A structured narrative review grounded in the scientific method was conducted, synthesizing peer-reviewed evidence on surveillance modernization, computational forecasting, geospatial analytics, precision public health, and governance frameworks. The results indicate a predominance of digital and hybrid surveillance architectures integrating electronic health records, internet-derived signals, genomic sequencing, and environmental datasets. Machine learning approaches were more frequently reported than traditional statistical models, particularly in outbreak forecasting and real-time anomaly detection. Evaluation metrics most commonly emphasized timeliness and predictive accuracy, reflecting a shift toward anticipatory governance. Decision-support applications were primarily associated with early warning systems and situational awareness dashboards. Governance themes, especially privacy protection and legal interoperability, were consistently identified as critical determinants of sustainability. Regional analysis suggests that while high-income countries demonstrate advanced digital integration, middle-income contexts increasingly adopt hybrid models to balance modernization with infrastructure constraints. Overall, data-driven epidemiology strengthens early detection capacity and operational responsiveness when embedded within interoperable, ethically governed, and institutionally supported systems. The findings underscore that technological innovation must be accompanied by governance alignment and workforce capacity development to ensure equitable and sustainable public health transformation.
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