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Genomic infectious disease epidemiology in partially sampled and ongoing outbreaks.

Abstract:

Genomic data is increasingly being used to understand infectious disease epidemiology. Isolates from a given outbreak are sequenced, and the patterns of shared variation are used to infer which isolates within the outbreak are most closely related to each other. Unfortunately, the phylogenetic trees typically used to represent this variation are not directly informative about who infected whom - a phylogenetic tree is not a transmission tree. However, a transmission tree can be inferred from ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1093/molbev/msw275

Authors


Didelot, X More by this author
More by this author
Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
Canada Research Chairs More from this funder
Publisher:
Oxford University Press Publisher's website
Journal:
Molecular Biology and Evolution Journal website
Volume:
34
Issue:
4
Pages:
997-1007
Publication date:
2017-01-05
Acceptance date:
2016-11-20
DOI:
ISSN:
1537-1719
Pubs id:
pubs:675159
URN:
uri:ded809a0-e93c-4497-bf16-589358aa3150
UUID:
uuid:ded809a0-e93c-4497-bf16-589358aa3150
Local pid:
pubs:675159
Language:
English
Keywords:

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