A Bayesian approach for inferring the dynamics of partially observed endemic infectious diseases from space-time-genetic data
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 6 - Agriculture, Food and Veterinary Sciences
- Output identifier
- 6-01039
- Type
- D - Journal article
- DOI
-
10.1098/rspb.2013.3251
- Title of journal
- Proceedings of the Royal Society of London Series B: Biological Sciences
- Article number
- -
- First page
- 20133251
- Volume
- 281
- Issue
- 1782
- ISSN
- 0962-8452
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
http://eprints.gla.ac.uk/94023/
- 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
-
6
- Research group(s)
-
-
- Citation count
- 48
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
