Literature DB >> 21624784

Different transmission patterns in the early stages of the influenza A(H1N1)v pandemic: a comparative analysis of 12 European countries.

Stefan Flasche1, Niel Hens, Pierre-Yves Boëlle, Joël Mossong, W Marijn van Ballegooijen, Baltazar Nunes, Caterina Rizzo, Florin Popovici, Patricia Santa-Olalla, Frantiska Hrubá, Kremena Parmakova, Marc Baguelin, Albert Jan van Hoek, Jean-Claude Desenclos, Pascale Bernillon, Amparro Larrauri Cámara, Jacco Wallinga, Tommi Asikainen, Peter J White, W John Edmunds.   

Abstract

Following the emergence of a novel strain of influenza A(H1N1) in Mexico and the United States in April 2009, its epidemiology in Europe during the summer was limited to sporadic and localised outbreaks. Only the United Kingdom experienced widespread transmission declining with school holidays in late July. Using statistical modelling where applicable we explored the following causes that could explain this surprising difference in transmission dynamics: extinction by chance, differences in the susceptibility profile, age distribution of the imported cases, differences in contact patterns, mitigation strategies, school holidays and weather patterns. No single factor was able to explain the differences sufficiently. Hence an additive mixed model was used to model the country-specific weekly estimates of the effective reproductive number using the extinction probability, school holidays and weather patterns as explanatory variables. The average extinction probability, its trend and the trend in absolute humidity were found to be significantly negatively correlated with the effective reproduction number - although they could only explain about 3% of the variability in the model. By comparing the initial epidemiology of influenza A (H1N1) across different European countries, our analysis was able to uncover a possible role for the timing of importations (extinction probability), mixing patterns and the absolute humidity as underlying factors. However, much uncertainty remains. With better information on the role of these epidemiological factors, the control of influenza could be improved.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21624784     DOI: 10.1016/j.epidem.2011.03.005

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  22 in total

1.  Model-Based Recursive Partitioning of Patients' Return Visits to Multispecialty Clinic During the 2009 H1N1 Pandemic Influenza (pH1N1).

Authors:  Osaro Mgbere; Salma Khuwaja
Journal:  Online J Public Health Inform       Date:  2020-05-16

2.  Contact, Travel, and Transmission: The Impact of Winter Holidays on Influenza Dynamics in the United States.

Authors:  Anne Ewing; Elizabeth C Lee; Cécile Viboud; Shweta Bansal
Journal:  J Infect Dis       Date:  2017-03-01       Impact factor: 5.226

3.  On the relative role of different age groups in influenza epidemics.

Authors:  Colin J Worby; Sandra S Chaves; Jacco Wallinga; Marc Lipsitch; Lyn Finelli; Edward Goldstein
Journal:  Epidemics       Date:  2015-12       Impact factor: 4.396

4.  The US 2009 A(H1N1) influenza epidemic: quantifying the impact of school openings on the reproductive number.

Authors:  Karen E Huang; Marc Lipsitch; Jeffrey Shaman; Edward Goldstein
Journal:  Epidemiology       Date:  2014-03       Impact factor: 4.822

Review 5.  Tools to detect influenza virus.

Authors:  Dae-Ki Kim; Barun Poudel
Journal:  Yonsei Med J       Date:  2013-05-01       Impact factor: 2.759

6.  Intense co-circulation of non-influenza respiratory viruses during the first wave of pandemic influenza pH1N1/2009: a cohort study in Reunion Island.

Authors:  Hervé Pascalis; Sarah Temmam; Magali Turpin; Olivier Rollot; Antoine Flahault; Fabrice Carrat; Xavier de Lamballerie; Patrick Gérardin; Koussay Dellagi
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

7.  A nice day for an infection? Weather conditions and social contact patterns relevant to influenza transmission.

Authors:  Lander Willem; Kim Van Kerckhove; Dennis L Chao; Niel Hens; Philippe Beutels
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

8.  Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.

Authors:  Andrea Apolloni; Chiara Poletto; Vittoria Colizza
Journal:  BMC Infect Dis       Date:  2013-04-15       Impact factor: 3.090

9.  School closures and influenza: systematic review of epidemiological studies.

Authors:  Charlotte Jackson; Emilia Vynnycky; Jeremy Hawker; Babatunde Olowokure; Punam Mangtani
Journal:  BMJ Open       Date:  2013-02-26       Impact factor: 2.692

10.  Analysis of 2009 pandemic influenza A/H1N1 outcomes in 19 European countries: association with completeness of national strategic plans.

Authors:  Aronrag Meeyai; Ben S Cooper; Richard Coker
Journal:  BMJ Open       Date:  2013-03-21       Impact factor: 2.692

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