Conference item
Reducing the impact of emerging infections through data sharing
- Abstract:
- Data sharing has the potential to shift the paradigm of outbreak response in the public health, clinical and scientific communities. Increasing access to more data can address some of the key challenges of the limited, fragmented, poor quality data, which characterise emerging infections. To achieve this, we must design well-governed, equitable, collaborative data sharing models driven by the questions relevant to those directly affected, and ensure that the benefits of sharing are returned to them. We must also implement methodologies that maximize the usability of data to generate evidence.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 52.0KB, Terms of use)
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- Publisher copy:
- 10.1016/j.ijid.2016.11.169
Authors
- Publisher:
- Elsevier
- Host title:
- International Meeting on Emerging Diseases and Surveillance (IMED 2016)
- Journal:
- International Meeting on Emerging Diseases and Surveillance (IMED 2016) More from this journal
- Publication date:
- 2016-12-22
- Acceptance date:
- 2016-08-31
- DOI:
- Pubs id:
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pubs:907436
- UUID:
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uuid:93765440-acc2-4993-afe6-9657edf5db61
- Local pid:
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pubs:907436
- Source identifiers:
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907436
- Deposit date:
-
2018-08-30
Terms of use
- Copyright holder:
- Merson and Vessiere
- Copyright date:
- 2016
- Notes:
- © 2016 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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