Big Data has increasingly been promoted as a revolutionary development in the future of
science, including epidemiology. However, the definition and implications of Big Data for …

Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …

Routinely recorded health data have evolved from mere by-products of health care delivery
or billing into a powerful research tool for studying and improving patient care through …

The digital world is generating data at a staggering and still increasing rate. While these “big
data” have unlocked novel opportunities to understand public health, they hold still greater …

Big Data and precision medicine, two major contemporary challenges for epidemiology, are
critically examined from two different angles. In Part 1 Big Data collected for research …

Big data is often discussed in the context of improving medical care, but it also has a less
appreciated but equally important role to play in preventing disease. Big data can facilitate …

The field of precision medicine explores disease treatments by looking at genetic, socio-
environmental, and clinical factors, thus trying to provide a holistic view of a person's health …

In 1854, as cholera swept through London, John Snow, the father of modern epidemiology,
painstakingly recorded the locations of affected homes. After long, laborious work, he …

Universally, the volume of data has increased, with the collection rate doubling every 40
months, since the 1980s.“Big data” is a term that was introduced in the 1990s to include data …

The field of public health genomics has matured in the past two decades and is beginning to
deliver genomic-based interventions for health and health care. In the past few years, the …