Factors influencing performance of internet-based biosurveillance systems used in epidemic intelligence for early detection of infectious diseases outbreaks.
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 26 - Modern Languages and Linguistics
- Output identifier
- 2352
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0090536
- Title of journal
- PLoS One
- Article number
- ARTN e90536
- First page
- e90536
- Volume
- 9
- Issue
- 3
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
10
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
