publication . Article . Other literature type . 2016

Big Data for Infectious Disease Surveillance and Modeling

Shweta Bansal; Gerardo Chowell; Lone Simonsen; Alessandro Vespignani; Cécile Viboud;
Open Access
  • Published: 14 Nov 2016
  • Publisher: Oxford University Press (OUP)
Abstract
We devote a special issue of the Journal of Infectious Diseases to review the recent advances of big data in strengthening disease surveillance, monitoring medical adverse events, informing transmission models, and tracking patient sentiments and mobility. We consider a broad definition of big data for public health, one encompassing patient information gathered from high-volume electronic health records and participatory surveillance systems, as well as mining of digital traces such as social media, Internet searches, and cell-phone logs. We introduce nine independent contributions to this special issue and highlight several cross-cutting areas that require fur...
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Subjects
free text keywords: Big Data for Infectious Disease Surveillance and Modeling, The Internet, business.industry, business, Data science, Social media, Health records, Infectious disease (medical specialty), Big data, Public health, medicine.medical_specialty, medicine, Representativeness heuristic, Disease surveillance, Computer science
Related Organizations
Funded by
EC| HistoricEpi
Project
HistoricEpi
Quantiative Study of Major Historic Epidemics and Transitions to longer, healthier lives
  • Funder: European Commission (EC)
  • Project Code: 659437
  • Funding stream: H2020 | MSCA-IF-EF-RI
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COVID-19
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