title: Computational approaches to influenza surveillance: beyond timeliness.
abstract: Several digital data sources and systems have been advanced for use in augmenting traditional influenza surveillance systems. Although timeliness is one of the main advantages of these tools, there are several other recognizable uses and potential impact of these systems on the public and global public health.
authors.affiliation: Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA. Electronic address: onelaine@vt.edu.
authors.forename: Elaine O
authors.initials: EO
authors.lastname: Nsoesie
authors.affiliation: Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1A2, Canada. Electronic address: john.brownstein@childrens.harvard.edu.
authors.forename: John S
authors.initials: JS
authors.lastname: Brownstein
mesh_terms: D003625:Data Collection; D001330:Electronic Data Processing / Q000379:methods*; D062665:Epidemiological Monitoring; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology*