Digital epidemiology

Digital epidemiology

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, unp...

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Veröffentlicht in:PLoS computational biology 2012-07, Vol.8 (7), p.e1002616-e1002616
Hauptverfasser: Salathé, Marcel, Bengtsson, Linus, Bodnar, Todd J, Brewer, Devon D, Brownstein, John S, Buckee, Caroline, Campbell, Ellsworth M, Cattuto, Ciro, Khandelwal, Shashank, Mabry, Patricia L, Vespignani, Alessandro
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Cell Phone
Computational Biology - methods
Data Mining
Databases, Factual
Epidemiologic Methods
Epidemiology
Forecasts and trends
Humans
Internet
Medical research
Medicin och hälsovetenskap
Medicine
Public health
Review
Science
Software
Technology application
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Beschreibung
Zusammenfassung: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.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1002616