- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 279.5KB)
-
- Publisher copy:
- 10.1371/journal.pmed.1001413
-
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- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PLoS medicine Journal website
- Volume:
- 10
- Issue:
- 4
- Pages:
- Article: e1001413
- Chapter number:
- UNSP e1001413
- Publication date:
- 2013-01-01
- DOI:
- EISSN:
-
1549-1676
- ISSN:
-
1549-1277
- URN:
-
uuid:fa5f3b38-7885-43a6-bb50-bacaee15fab9
- Source identifiers:
-
395003
- Local pid:
- pubs:395003
- Language:
- English
- Keywords:
- Copyright date:
- 2013
- Notes:
- 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.
Journal article
Big data opportunities for global infectious disease surveillance.
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