title: Digital epidemiology.
abstract: 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.
authors: Center for Infectious Disease Dynamics, Penn State University, University Park, Pennsylvania, United States of America. salathe@psu.edu
authors: Marcel
authors: M
authors: Salathé
authors: Linus
authors: L
authors: Bengtsson
authors: Todd J
authors: TJ
authors: Bodnar
authors: Devon D
authors: DD
authors: Brewer
authors: John S
authors: JS
authors: Brownstein
authors: Caroline
authors: C
authors: Buckee
authors: Ellsworth M
authors: EM
authors: Campbell
authors: Ciro
authors: C
authors: Cattuto
authors: Shashank
authors: S
authors: Khandelwal
authors: Patricia L
authors: PL
authors: Mabry
authors: Alessandro
authors: A
authors: Vespignani
mesh_terms: D000465:Algorithms; D040421:Cell Phone; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining; D016208:Databases, Factual; D004812:Epidemiologic Methods; D006801:Humans; D020407:Internet; D012984:Software