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Quantifying Transmission Heterogeneity Using Both Pathogen Phylogenies and Incidence Time Series

Abstract:

Heterogeneity in individual-level transmissibility can be quantified by the dispersion parameter k of the offspring distribution. Quantifying heterogeneity is important as it affects other parameter estimates, it modulates the degree of unpredictability of an epidemic, and it needs to be accounted for in models of infection control. Aggregated data such as incidence time series are often not sufficiently informative to estimate k. Incorporating phylogenetic analysis can help to estimate k con...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/molbev/msx195

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
ORCID:
0000-0003-2399-9657
Publisher:
Oxford University Press Publisher's website
Journal:
Molecular biology and evolution Journal website
Volume:
34
Issue:
11
Pages:
2982-2995
Publication date:
2017-11-01
DOI:
ISSN:
1537-1719 and 0737-4038
Pmid:
28981709
Source identifiers:
734480
Language:
English
Keywords:
Pubs id:
pubs:734480
UUID:
uuid:528b8f68-fcab-4b87-8e67-d58fbfbfb25a
Local pid:
pubs:734480
Deposit date:
2018-01-24

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