Abstract
Digital Epidemiology is a new field that has been growing rapidly in the past few years, fueled by the increasing availability of data and computing power, as well as by breakthroughs in data analytics methods. In this short piece, I provide an outlook of where I see the field heading, and offer a broad and a narrow definition of the term.
Highlights
Digital Epidemiology has come a long way in the past 10 years
The number of scholarly publications, scientific events, and academic groups dedicated to digital epidemiology has grown steadily over the past few years
In these early years of digital epidemiology, its growth has been fueled by the rapid growth of digital data, the widespread penetration of mobile phones and internet usage, and the increasing power of machine learning that is necessary to make sense of the available data
Summary
Digital Epidemiology has come a long way in the past 10 years. What started as a small and diverse group of researchers from various fields mining the increasing amount of internet data for epidemiological purposes has turned into a nascent field of its own. I expect that this broad and straightforward definition will appeal to many, as it includes any modern approach to epidemiology based on digital sources.
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