BMC Infectious Diseases | |
Planning for the next influenza H1N1 season: a modelling study | |
Research Article | |
Daniel Levy-Bruhl1  Isabelle Bonmarin1  Nathanael Lapidus2  Camille Pelat2  Fabrice Carrat3  | |
[1] Département des maladies infectieuses, Institut de Veille Sanitaire, 94415, Saint-Maurice, France;Université Pierre et Marie Curie - Paris 6, UMR-S 707F-75012, Paris, France;Inserm U707, F-75012, Paris, France;Université Pierre et Marie Curie - Paris 6, UMR-S 707F-75012, Paris, France;Inserm U707, F-75012, Paris, France;Assistance Publique Hôpitaux de Paris, Hôpital Saint Antoine, F-75012, Paris, France;F Carrat, UMR-S 707, Faculté de médecine Saint Antoine, 27 rue Chaligny, 75571CEDEX 12, PARIS, France; | |
关键词: Influenza; Influenza Vaccination; H1N1 Virus; Medical Visit; H1N1 Infection; | |
DOI : 10.1186/1471-2334-10-301 | |
received in 2010-06-04, accepted in 2010-10-21, 发布年份 2010 | |
来源: Springer | |
【 摘 要 】
BackgroundThe level of herd immunity before and after the first 2009 pandemic season is not precisely known, and predicting the shape of the next pandemic H1N1 season is a difficult challenge.MethodsThis was a modelling study based on data on medical visits for influenza-like illness collected by the French General Practitioner Sentinel network, as well as pandemic H1N1 vaccination coverage rates, and an individual-centred model devoted to influenza. We estimated infection attack rates during the first 2009 pandemic H1N1 season in France, and the rates of pre- and post-exposure immunity. We then simulated various scenarios in which a pandemic influenza H1N1 virus would be reintroduced into a population with varying levels of protective cross-immunity, and considered the impact of extending influenza vaccination.ResultsDuring the first pandemic season in France, the proportion of infected persons was 18.1% overall, 38.3% among children, 14.8% among younger adults and 1.6% among the elderly. The rates of pre-exposure immunity required to fit data collected during the first pandemic season were 36% in younger adults and 85% in the elderly. We estimated that the rate of post-exposure immunity was 57.3% (95% Confidence Interval (95%CI) 49.6%-65.0%) overall, 44.6% (95%CI 35.5%-53.6%) in children, 53.8% (95%CI 44.5%-63.1%) in younger adults, and 87.4% (95%CI 82.0%-92.8%) in the elderly.The shape of a second season would depend on the degree of persistent protective cross-immunity to descendants of the 2009 H1N1 viruses. A cross-protection rate of 70% would imply that only a small proportion of the population would be affected. With a cross-protection rate of 50%, the second season would have a disease burden similar to the first, while vaccination of 50% of the entire population, in addition to the population vaccinated during the first pandemic season, would halve this burden. With a cross-protection rate of 30%, the second season could be more substantial, and vaccination would not provide a significant benefit.ConclusionsThese model-based findings should help to prepare for a second pandemic season, and highlight the need for studies of the different components of immune protection.
【 授权许可】
CC BY
© Carrat et al; licensee BioMed Central Ltd. 2010
【 预 览 】
Files | Size | Format | View |
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RO202311094474313ZK.pdf | 852KB | download |
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