Innovación, Big Data y Epidemiología

Abstract

The main aim of this paper is to show how epidemiology has advanced thanks to innovations in the argumentative process and its connections with digital technology. More specifically, the phenomenon of big (data-fed massive databases in real time with millions of entries that can be processed to look for correlations quickly) can be a powerful tool for further innovation in epidemiology, allowing researchers to work with large populations in real time, thus increasing the chances of establishing statistics sufficiently well argued to infer the reality of the phenomenon, and for possible causal mechanisms correlations with at least some probability of reaching a reliable result.

Keywords: Innovation in argumentative processes; epidemiology; e-science.