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Epidemiology's Causation and Prediction: Managing the Methodological Revolution

Alexandro Barnos

This article delves into the "Methodological Revolution" underway in epidemiology, elucidating the evolving
approaches to causation and prediction within the discipline. Traditional criteria for causation, as established by
Bradford Hill, are reevaluated in the context of complex diseases, leading to a shift in focus. Concurrently, the rise
of predictive modeling, facilitated by advances in computational capabilities and omics technologies, is transforming
epidemiological research [1]. The article navigates the challenges and considerations inherent in this methodological
revolution, providing a guide for researchers and public health professionals seeking to enhance their understanding
of health determinants and improve prediction accuracy.