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dc.contributor.author
Egli, Adrian
dc.contributor.author
Saalfrank, Claudia
dc.contributor.author
Goldman, Nina
dc.contributor.author
Brunner, Myrta
dc.contributor.author
Hollenstein, Yvonne
dc.contributor.author
Vogel, Thomas
dc.contributor.author
Augustin, Noémie
dc.contributor.author
Wüthrich, Daniel
dc.contributor.author
Seth-Smith, Helena M.B.
dc.contributor.author
Roth, Elisa
dc.contributor.author
Syedbasha, Mohammedyaseen
dc.contributor.author
Mueller, Nicola F.
dc.contributor.author
Vogt, Dominik
dc.contributor.author
Bauer, Jan
dc.contributor.author
Amar-Sliwa, Nadezhda
dc.contributor.author
Meinel, Dominik M.
dc.contributor.author
Dubuis, Olivier
dc.contributor.author
Naegele, Michael
dc.contributor.author
Tschudin-Sutter, Sarah
dc.contributor.author
Buser, Andreas
dc.contributor.author
Nickel, Christian H.
dc.contributor.author
Zeller, Andreas
dc.contributor.author
Ritz, Nicole
dc.contributor.author
Battegay, Manuel
dc.contributor.author
Stadler, Tanja
dc.contributor.author
Schneider-Sliwa, Rita
dc.date.accessioned
2020-01-10T13:22:03Z
dc.date.available
2020-01-01T18:44:12Z
dc.date.available
2020-01-10T13:22:03Z
dc.date.issued
2019-08-20
dc.identifier.issn
2044-6055
dc.identifier.other
10.1136/bmjopen-2019-030913
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/387372
dc.identifier.doi
10.3929/ethz-b-000387372
dc.description.abstract
Introduction Urban transmission patterns of influenza viruses are complex and poorly understood, and multiple factors may play a critical role in modifying transmission. Whole genome sequencing (WGS) allows the description of patient-to-patient transmissions at highest resolution. The aim of this study is to explore urban transmission patterns of influenza viruses in high detail by combining geographical, epidemiological and immunological data with WGS data. Methods and analysis The study is performed at the University Hospital Basel, University Children’s Hospital Basel and a network of paediatricians and family doctors in the Canton of Basel-City, Switzerland. The retrospective study part includes an analysis of PCR-confirmed influenza cases from 2013 to 2018. The prospective study parts include (1) a household survey regarding influenza-like illness (ILI) and vaccination against influenza during the 2015/2016 season; (2) an analysis of influenza viruses collected during the 2016/2017 season using WGS—viral genomic sequences are compared with determine genetic relatedness and transmissions; and (3) measurement of influenza-specific antibody titres against all vaccinated and circulated strains during the 2016/2017 season from healthy individuals, allowing to monitor herd immunity across urban quarters. Survey data and PCR-confirmed cases are linked to data from the Statistics Office of the Canton Basel-City and visualised using geo-information system mapping. WGS data will be analysed in the context of patient epidemiological data using phylodynamic analyses, and the obtained herd immunity for each quarter. Profound knowledge on the key geographical, epidemiological and immunological factors influencing urban influenza transmission will help to develop effective counter measurements. Ethics and dissemination The study is registered and approved by the regional ethics committee as an observational study (EKNZ project ID 2015–363 and 2016–01735). It is planned to present the results at conferences and publish the data in scientific journals.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
BMJ
dc.rights.uri
http://creativecommons.org/licenses/by-nc/4.0/
dc.title
Identification of influenza urban transmission patterns by geographical, epidemiological and whole genome sequencing data: protocol for an observational study
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial 4.0 International
ethz.journal.title
BMJ Open
ethz.journal.volume
9
en_US
ethz.journal.issue
8
en_US
ethz.pages.start
e030913
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
System analysis of seasonal Influenza - virus transmission and evolution in the City of Basel
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
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
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.grant.agreementno
166258
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Interdisziplinäres Projekt
ethz.date.deposited
2020-01-01T18:44:16Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-01-10T13:22:14Z
ethz.rosetta.lastUpdated
2024-02-02T10:06:57Z
ethz.rosetta.versionExported
true
ethz.COinS
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