Quantifying Transmission Heterogeneity Using Both Pathogen Phylogenies and Incidence Time Series-Reference-Cited by-同舟云学术

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Quantifying Transmission Heterogeneity Using Both Pathogen Phylogenies and Incidence Time Series

Published:2017-07-11 Issue:11 Volume:34 Page:2982-2995
ISSN:0737-4038
Container-title:Molecular Biology and Evolution
language:en
Short-container-title:

Author:

Li Lucy M.¹²,Grassly Nicholas C.¹,Fraser Christophe¹³

Affiliation:

1. Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom

2. Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA

3. Nuffield Department of Medicine, Oxford Big Data Institute, University of Oxford, Oxford, United Kingdom

Funder

Li Ka Shing Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

Link

http://academic.oup.com/mbe/article-pdf/34/11/2982/24366873/msx195.pdf

Reference42 articles.

1. Particle Markov chain Monte Carlo methods;Andrieu;J R Stat Soc B.,2010

2. Genetic relationships and epidemiological links between wild type 1 poliovirus isolates in Pakistan and Afghanistan;Angez;Virol J.,2012

3. The role of older children and adults in wild poliovirus transmission;Blake;Proc Natl Acad Sci U S A.,2014

4. BEAST 2: a software platform for Bayesian evolutionary analysis;Bouckaert;PLoS Comput Biol.,2014

5. Multiple independent emergences of type 2 vaccine-derived polioviruses during a large outbreak in northern Nigeria;Burns;J Virol.,2013

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