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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/32983
Title: Two-phase importance sampling for inference about transmission trees
Authors: Elina Numminen
Claire Chewapreecha
Jukka Sirén
Claudia Turner
Paul Turner
Stephen D. Bentley
Jukka Corander
Helsingin Yliopisto
Wellcome Trust
Mahidol University
Nuffield Department of Clinical Medicine
University of Cambridge
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology;Environmental Science;Immunology and Microbiology
Issue Date: 24-Sep-2014
Citation: Proceedings of the Royal Society B: Biological Sciences. Vol.281, No.1794 (2014)
Abstract: © 2014 The Author(s) Published by the Royal Society. All rights reserved. There has been growing interest in the statistics community to develop methods for inferring transmission pathways of infectious pathogens from molecular sequence data. For many datasets, the computational challenge lies in the huge dimension of the missing data. Here, we introduce an importance sampling scheme in which the transmission trees and phylogenies of pathogens are both sampled from reasonable importance distributions, alleviating the inference. Using this approach, arbitrary models of transmission could be considered, contrary to many earlier proposed methods. We illustrate the scheme by analysing transmissions of Streptococcus pneumoniae from household to household within a refugee camp, using data in which only a fraction of hosts is observed, but which is still rich enough to unravel the within-household transmission dynamics and pairs of households between whom transmission is plausible. We observe that while probability of direct transmission is low even for the most prominent cases of transmission, still those pairs of households are geographically much closer to each other than expected under random proximity.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84908136656&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/32983
ISSN: 14712954
09628452
Appears in Collections:Scopus 2011-2015

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