Journal article
Comparison of cluster-based and source-attribution methods for estimating transmission risk using large HIV sequence databases
- Abstract:
-
Phylogenetic clustering of HIV sequences from a random sample of patients can reveal epidemiological transmission patterns, but interpretation is hampered by limited theoretical support and statistical properties of clustering analysis remain poorly understood. Alternatively, source attribution methods allow fitting of HIV transmission models and thereby quantify aspects of disease transmission. A simulation study was conducted to assess error rates of clustering methods for detecting transmi...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 810.7KB)
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- Publisher copy:
- 10.1016/j.epidem.2017.10.001
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Authors
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Epidemics Journal website
- Volume:
- 23
- Pages:
- 1-10
- Publication date:
- 2017-10-20
- Acceptance date:
- 2017-10-17
- DOI:
- EISSN:
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1878-0067
- ISSN:
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1755-4365
- Pmid:
-
29089285
- Source identifiers:
-
743434
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:743434
- UUID:
-
uuid:a1d86206-dcbb-4075-b05b-9f509c9c56ef
- Local pid:
- pubs:743434
- Deposit date:
- 2017-11-24
Terms of use
- Copyright holder:
- Vu et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 The Authors. Published by Elsevier B.V. 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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