Identification of influenza urban transmission patterns by geographical, epidemiological and whole genome sequencing data: protocol for an observational study

Adrian Egli, Claudia Saalfrank, Nina Goldman, Myrta Brunner, Yvonne Hollenstein, Thomas Vogel, Noémie Augustin, Daniel Wüthrich, Helena M B Seth-Smith, Elisa Roth, Mohammedyaseen Syedbasha, Nicola F Mueller, Dominik Vogt, Jan Bauer, Nadezhda Amar-Sliwa, Dominik M Meinel, Olivier Dubuis, Michael Naegele, Sarah Tschudin-Sutter, Andreas Buser, Christian H Nickel, Andreas Zeller, Nicole Ritz, Manuel Battegay, Tanja Stadler, Rita Schneider-Sliwa, Adrian Egli, Claudia Saalfrank, Nina Goldman, Myrta Brunner, Yvonne Hollenstein, Thomas Vogel, Noémie Augustin, Daniel Wüthrich, Helena M B Seth-Smith, Elisa Roth, Mohammedyaseen Syedbasha, Nicola F Mueller, Dominik Vogt, Jan Bauer, Nadezhda Amar-Sliwa, Dominik M Meinel, Olivier Dubuis, Michael Naegele, Sarah Tschudin-Sutter, Andreas Buser, Christian H Nickel, Andreas Zeller, Nicole Ritz, Manuel Battegay, Tanja Stadler, Rita Schneider-Sliwa

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.

Trial registration number: NCT03010007.

Keywords: geography; influenza; questionnaire; study design; transmission; whole genome sequencing.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Study overview. Retrospective analysis of PCR-confirmed cases and household survey. prospective collection of influenza virus isolates for WGS analysis and measurement of HIA titres from serum of healthy donors. GIS, geo-information system; HIA, haemagglutination inhibition assay; WGS, whole genome sequencing.
Figure 2
Figure 2
Urban quarters of the Canton of Basel-City included into the household survey. The 10 selected urban quarters are highlighted, selected on influenza incidences and known socioeconomic differences. Base map data: department of construction and traffic of the Canton Basel-City, land charge register, specialist department for geoinformatics.

References

    1. Stockton J, Ellis JS, Saville M, et al. . Multiplex PCR for typing and subtyping influenza and respiratory syncytial viruses. J Clin Microbiol 1998;36:2990–5.
    1. Thai PQ, Mai LQ, Welkers MRA, et al. . Pandemic H1N1 virus transmission and shedding dynamics in index case households of a prospective Vietnamese cohort. J Infect 2014;68:581–90. 10.1016/j.jinf.2014.01.008
    1. Ziegler T, Hall H, Sánchez-Fauquier A, et al. . Type- and subtype-specific detection of influenza viruses in clinical specimens by rapid culture assay. J Clin Microbiol 1995;33:318–21.
    1. McCrone JT, Woods RJ, Martin ET, et al. . Stochastic processes constrain the within and between host evolution of influenza virus. Elife 2018;7 10.7554/eLife.35962. [Epub ahead of print: 03 May 2018].
    1. Houghton R, Ellis J, Galiano M, et al. . Haemagglutinin and neuraminidase sequencing delineate nosocomial influenza outbreaks with accuracy equivalent to whole genome sequencing. J Infect 2017;74:377–84. 10.1016/j.jinf.2016.12.015
    1. Pagani L, Thomas Y, Huttner B, et al. . Transmission and effect of multiple clusters of seasonal influenza in a Swiss geriatric hospital. J Am Geriatr Soc 2015;63:739–44. 10.1111/jgs.13339
    1. Valley-Omar Z, Nindo F, Mudau M, et al. . Phylogenetic exploration of nosocomial transmission chains of 2009 influenza A/H1N1 among children admitted at red cross war Memorial children's Hospital, Cape town, South Africa in 2011. PLoS One 2015;10:e0141744 10.1371/journal.pone.0141744
    1. Virk RK, Gunalan V, Lee HK, et al. . Molecular evidence of transmission of influenza A/H1N1 2009 on a university campus. PLoS One 2017;12:e0168596 10.1371/journal.pone.0168596
    1. Ghedin E, Sengamalay NA, Shumway M, et al. . Large-Scale sequencing of human influenza reveals the dynamic nature of viral genome evolution. Nature 2005;437:1162–6. 10.1038/nature04239
    1. Bloom-Feshbach K, Alonso WJ, Charu V, et al. . Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review. PLoS One 2013;8:e54445 10.1371/journal.pone.0054445
    1. Sammon CJ, McGrogan A, Snowball J, et al. . Factors associated with uptake of seasonal and pandemic influenza vaccine among clinical risk groups in the UK: an analysis using the general practice research database. Vaccine 2012;30:2483–9. 10.1016/j.vaccine.2011.11.077
    1. Tamerius JD, Shaman J, Alonso WJ, et al. . Environmental predictors of seasonal influenza epidemics across temperate and tropical climates. PLoS Pathog 2013;9:e1003194 10.1371/journal.ppat.1003194
    1. Walter D, Böhmer MM, Heiden Mander, et al. . Monitoring pandemic influenza A(H1N1) vaccination coverage in Germany 2009/10 - results from thirteen consecutive cross-sectional surveys. Vaccine 2011;29:4008–12. 10.1016/j.vaccine.2011.03.069
    1. Yu H, Alonso WJ, Feng L, et al. . Characterization of regional influenza seasonality patterns in China and implications for vaccination strategies: spatio-temporal modeling of surveillance data. PLoS Med 2013;10:e1001552 10.1371/journal.pmed.1001552
    1. Wüthrich D, Lang D, Müller NF, et al. . Evaluation of two workflows for whole genome sequencing-based typing of influenza A viruses. J Virol Methods 2019;266:30–3. 10.1016/j.jviromet.2019.01.009
    1. Kaufmann L, Syedbasha M, Vogt D, et al. . An optimized hemagglutination inhibition (HI) assay to quantify Influenza-specific antibody titers. J Vis Exp 2017. 10.3791/55833. [Epub ahead of print: 01 Dec 2017].
    1. Vaux S, Van Cauteren D, Guthmann J-P, et al. . Influenza vaccination coverage against seasonal and pandemic influenza and their determinants in France: a cross-sectional survey. BMC Public Health 2011;11:30 10.1186/1471-2458-11-30
    1. Raude J, Setbon M. Predicting the lay preventive strategies in response to avian influenza from perceptions of the threat. PLoS One 2011;6:e24943 10.1371/journal.pone.0024943
    1. Böhmer MM, Walter D, Müters S, et al. . Seasonal influenza vaccine uptake in Germany 2007/2008 and 2008/2009: results from a national health update survey. Vaccine 2011;29:4492–8. 10.1016/j.vaccine.2011.04.039
    1. Böhmer MM, Walter D, Krause G, et al. . Determinants of tetanus and seasonal influenza vaccine uptake in adults living in Germany. Hum Vaccin 2011;7:1317–25. 10.4161/hv.7.12.18130
    1. Dunlop S, Coyte PC, McIsaac W. Socio-Economic status and the utilisation of physicians' services: results from the Canadian national population health survey. Soc Sci Med 2000;51:123–33. 10.1016/S0277-9536(99)00424-4
    1. Bouckaert R, Heled J, Kühnert D, et al. . Beast 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol 2014;10:e1003537 10.1371/journal.pcbi.1003537

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