Citation

Allegrante JP, Mitchell RJ, Taylor JA, Mack KA. Inj. Prev. 2016; 22(Suppl 1): i63-i65.

Affiliation

Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, Atlanta, Georgia, USA.

Copyright

(Copyright © 2016, BMJ Publishing Group)

DOI

10.1136/injuryprev-2015-041943

PMID

27044497

Abstract

In recent years, we have seen a dramatic transformation of the knowledge economy. This transformation has been catalysed by the rapidly evolving capabilities of smart technologies and by increased recognition of the potential of using information being generated from ‘big data’ to empower society in a range of scientific endeavours designed to achieve the goal of improving the human condition. Former CDC Director William H Foege once wrote: “The reason for collecting, analysing, and disseminating information on a disease is to control that disease. Collection and analysis should not be allowed to consume resources if action does not follow.”1 The new sources of data, including big data and real-time data access, visualisation, electronic health records (eHealth), genomic risk profiling, data linkages and syndromic surveillance, have all contributed to the now-unfolding information revolution that has strengthened our public health capacity to direct and take action. Nowhere has this revolution become more apparent, nor more critical, than in the epidemiology, prevention and control of injury.

Language: en