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Reference: Hay, SI, George, DB, Moyes, CL et al., (2013). Big data opportunities for global infectious disease surveillance. PLoS medicine, 10 (4), Article: e1001413.Citable link to this page:

 

Big data opportunities for global infectious disease surveillance.

Abstract: Simon Hay and colleagues discuss the potential and challenges of producing continually updated infectious disease risk maps using diverse and large volume data sources such as social media.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Publisher's versionNotes:This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Bibliographic Details

Publisher: Public Library of Science

Publisher Website: http://www.plos.org/

Journal: PLoS medicinesee more from them

Publication Website: http://www.plosmedicine.org/

Issue Date: 2013

Article Number:UNSP e1001413

pages:Article: e1001413Identifiers

Urn: uuid:fa5f3b38-7885-43a6-bb50-bacaee15fab9

Source identifier: 395003

Eissn: 1549-1676

Doi: https://doi.org/10.1371/journal.pmed.1001413

Issn: 1549-1277 Item Description

Type: Journal article;

Language: eng

Version: Publisher's versionKeywords: Humans Communicable Diseases Population Surveillance Risk Disease Outbreaks International Cooperation World Health Data Mining Social Media Tiny URL: pubs:395003

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Author: Hay, SI - institutionUniversity of Oxford Oxford, MPLS, Zoology grantNumber#095066 fundingWellcome Trust fundingDepartment of Hom

Source: https://ora.ox.ac.uk/objects/uuid:fa5f3b38-7885-43a6-bb50-bacaee15fab9



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