How do big data and classical epidemiology contribute to solving chronic respiratory ill health?

Symposium
Chairs: J. Quint (Wimbledon, United Kingdom), A. Johannessen (Bergen, Norway)
Aims: to demonstrate how large datasets, including routinely collected electronic healthcare records, can be used to complement cohorts and more traditional epidemiology methods in order to answer a wide variety of questions about chronic respiratory diseases.

Primary prevention of asthma and impaired lung function: how close are we? S. Shaheen (London, United Kingdom)
The Scandinavian approach to using data for studying the early risks and consequences of asthma C. Almqvist Malmros (Stockholm, Sweden)
Epidemiology of rare diseases S. Stanojevic (Toronto (ON), Canada)
The exposome environment R. Vermeulen (Utrecht, Netherlands)
Traditional methods of epidemiology and how they complement what is learned from big data D. Jarvis (London, United Kingdom)