Digital Epidemiology
Author(s) -
Marcel Salathé,
Linus Bengtsson,
Todd Bodnar,
Devon D. Brewer,
John S. Brownstein,
Caroline O. Buckee,
Ellsworth M. Campbell,
Ciro Cattuto,
Shashank Khandelwal,
Patricia L. Mabry,
Alessandro Vespignani
Publication year - 2012
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1002616
Subject(s) - data science , computer science , digital health , epidemiology , big data , medicine , data mining , health care , political science , law
Mobile, social, real-time: the ongoing revolution in the way people communicate has given rise to a new kind of epidemiology. Digital data sources, when harnessed appropriately, can provide local and timely information about disease and health dynamics in populations around the world. The rapid, unprecedented increase in the availability of relevant data from various digital sources creates considerable technical and computational challenges.
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