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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Bibliographic Details
Published inPLoS computational biology Vol. 8; no. 7; p. e1002616
Main Authors 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 Journal Article
LanguageEnglish
Published United States Public Library of Science 01.07.2012
Public Library of Science (PLoS)
Subjects
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
United States
Algorithms
Epidemiologic Methods
Humans
Computational Biology
Data Mining
Software
Internet
Cellular Phone
Databases, Factual
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
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ObjectType-Review-1
The authors have declared that no competing interests exist.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1002616