Literature DB >> 22025354

Age-dependent patterns of infection and severity explaining the low impact of 2009 influenza A (H1N1): evidence from serial serologic surveys in the Netherlands.

Anneke Steens1, Sandra Waaijenborg, Peter F M Teunis, Johan H J Reimerink, Adam Meijer, Mariken van der Lubben, Marion Koopmans, Marianne A B van der Sande, Jacco Wallinga, Michiel van Boven.   

Abstract

Despite considerable research efforts in specific subpopulations, reliable estimates of the infection attack rates and severity of 2009 influenza A (H1N1) in the general population remain scarce. Such estimates are essential to the tailoring of future control strategies. Therefore, 2 serial population-based serologic surveys were conducted, before and after the 2009 influenza A (H1N1) epidemic, in the Netherlands. Random age-stratified samples were obtained using a 2-stage cluster design. Participants donated blood and completed a questionnaire. Data on sentinel general practitioner-attended influenza-like illness and nationwide hospitalization and mortality were used to assess the severity of infection. The estimated infection attack rates were low in the general population (7.6%, 95% confidence interval: 3.6, 11) but high in children aged 5-19 years (35%, 95% confidence interval: 25, 45). The estimated hospitalization and mortality rates per infection increased significantly with age (5-19 years: 0.042% and 0.00094%, respectively; 20-39 years: 0.12% and 0.0025%; 40-59 years: 0.68% and 0.032%; 60-75 years: >0.81% and >0.068%). The high infection attack rate in children and the very low attack rate in older adults, together with the low severity of illness per infection in children but substantial severity in older adults, produced an epidemic with a low overall impact.

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Year:  2011        PMID: 22025354     DOI: 10.1093/aje/kwr245

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  28 in total

1.  Model-based reconstruction of an epidemic using multiple datasets: understanding influenza A/H1N1 pandemic dynamics in Israel.

Authors:  R Yaari; G Katriel; L Stone; E Mendelson; M Mandelboim; A Huppert
Journal:  J R Soc Interface       Date:  2016-03       Impact factor: 4.118

Review 2.  Case fatality risk of influenza A (H1N1pdm09): a systematic review.

Authors:  Jessica Y Wong; Heath Kelly; Dennis K M Ip; Joseph T Wu; Gabriel M Leung; Benjamin J Cowling
Journal:  Epidemiology       Date:  2013-11       Impact factor: 4.822

3.  Infection fatality risk of the pandemic A(H1N1)2009 virus in Hong Kong.

Authors:  Jessica Y Wong; Peng Wu; Hiroshi Nishiura; Edward Goldstein; Eric H Y Lau; Lin Yang; S K Chuang; Thomas Tsang; J S Malik Peiris; Joseph T Wu; Benjamin J Cowling
Journal:  Am J Epidemiol       Date:  2013-03-03       Impact factor: 4.897

4.  Utilizing syndromic surveillance data for estimating levels of influenza circulation.

Authors:  Oscar Patterson-Lomba; Sander Van Noort; Benjamin J Cowling; Jacco Wallinga; M Gabriela M Gomes; Marc Lipsitch; Edward Goldstein
Journal:  Am J Epidemiol       Date:  2014-04-18       Impact factor: 4.897

5.  Association of age and comorbidity on 2009 influenza A pandemic H1N1-related intensive care unit stay in Massachusetts.

Authors:  Hilary E D Placzek; Lawrence C Madoff
Journal:  Am J Public Health       Date:  2014-09-11       Impact factor: 9.308

6.  Prior infection with influenza virus but not vaccination leaves a long-term immunological imprint that intensifies the protective efficacy of antigenically drifted vaccine strains.

Authors:  Jin Hyang Kim; Justine Liepkalns; Adrian J Reber; Xiuhua Lu; Nedzad Music; Joshy Jacob; Suryaprakash Sambhara
Journal:  Vaccine       Date:  2015-12-17       Impact factor: 3.641

7.  Utility of the first few100 approach during the 2009 influenza A(H1N1) pandemic in the Netherlands.

Authors:  Arianne B van Gageldonk-Lafeber; Marianne Ab van der Sande; Adam Meijer; Ingrid Hm Friesema; Gé A Donker; Johan Reimerink; Mirna Robert-Du Ry van Beest Holle; Jan M Prins; Leslie Isken; François G Schellevis; Mariken Im van der Lubben
Journal:  Antimicrob Resist Infect Control       Date:  2012-09-21       Impact factor: 4.887

8.  Demographic shift of influenza A(H1N1)pdm09 during and after pandemic, rural India.

Authors:  Shobha Broor; Wayne Sullender; Karen Fowler; Vivek Gupta; Marc-Alain Widdowson; Anand Krishnan; Renu B Lal
Journal:  Emerg Infect Dis       Date:  2012-09       Impact factor: 6.883

9.  H3N2v and other influenza epidemic risk based on age-specific estimates of sero-protection and contact network interactions.

Authors:  Danuta M Skowronski; Flavia S Moser; Naveed Z Janjua; Bahman Davoudi; Krista M English; Dale Purych; Martin Petric; Babak Pourbohloul
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

10.  Profiling of humoral response to influenza A(H1N1)pdm09 infection and vaccination measured by a protein microarray in persons with and without history of seasonal vaccination.

Authors:  Elisabeth G W Huijskens; Johan Reimerink; Paul G H Mulder; Janko van Beek; Adam Meijer; Erwin de Bruin; Ingrid Friesema; Menno D de Jong; Guus F Rimmelzwaan; Marcel F Peeters; John W A Rossen; Marion Koopmans
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

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