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dc.contributor.author
Leventhal, Gabriel E.
dc.contributor.author
Kouyos, Roger
dc.contributor.author
Stadler, Tanja
dc.contributor.author
von Wyl, Viktor
dc.contributor.author
Yerly, Sabine
dc.contributor.author
Böni, Jürg
dc.contributor.author
Cellerai, Cristina
dc.contributor.author
Klimkait, Thomas
dc.contributor.author
Günthard, Huldrych F.
dc.contributor.author
Bonhoeffer, Sebastian
dc.date.accessioned
2019-01-21T13:18:11Z
dc.date.available
2017-06-09T21:23:17Z
dc.date.available
2019-01-21T13:18:11Z
dc.date.issued
2012-03-08
dc.identifier.issn
1553-734X
dc.identifier.issn
1553-7358
dc.identifier.other
10.1371/journal.pcbi.1002413
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/47856
dc.identifier.doi
10.3929/ethz-b-000047856
dc.description.abstract
Contact structure is believed to have a large impact on epidemic spreading and consequently using networks to model such contact structure continues to gain interest in epidemiology. However, detailed knowledge of the exact contact structure underlying real epidemics is limited. Here we address the question whether the structure of the contact network leaves a detectable genetic fingerprint in the pathogen population. To this end we compare phylogenies generated by disease outbreaks in simulated populations with different types of contact networks. We find that the shape of these phylogenies strongly depends on contact structure. In particular, measures of tree imbalance allow us to quantify to what extent the contact structure underlying an epidemic deviates from a null model contact network and illustrate this in the case of random mixing. Using a phylogeny from the Swiss HIV epidemic, we show that this epidemic has a significantly more unbalanced tree than would be expected from random mixing.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Inferring Epidemic Contact Structure from Phylogenetic Trees
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS Computational Biology
ethz.journal.volume
8
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
PLOS comput. biol.
ethz.pages.start
e1002413
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
005410277
ethz.publication.place
San Francisco, CA, USA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09490 - Stadler, Tanja / Stadler, Tanja
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09490 - Stadler, Tanja / Stadler, Tanja
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
ethz.date.deposited
2017-06-09T21:24:39Z
ethz.source
ECIT
ethz.identifier.importid
imp59364f1cdd70770293
ethz.ecitpid
pub:78793
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T19:47:43Z
ethz.rosetta.lastUpdated
2019-01-21T13:18:25Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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