Planning for the next influenza H1N1 season: a modelling study

被引:11
作者
Carrat, Fabrice [1 ,2 ,3 ,5 ]
Pelat, Camille [1 ,2 ]
Levy-Bruhl, Daniel [4 ]
Bonmarin, Isabelle [4 ]
Lapidus, Nathanael [1 ,2 ]
机构
[1] Univ Paris 06, UMR S 707, F-75012 Paris, France
[2] INSERM, U707, F-75012 Paris, France
[3] Hop St Antoine, AP HP, F-75012 Paris, France
[4] Inst Veille Sanit, Dept Malad Infect, F-94415 St Maurice, France
[5] Univ Paris 06, UMR S 707, F-75571 Paris 12, France
关键词
CRITICALLY-ILL PATIENTS; A H1N1; PANDEMIC INFLUENZA; A(H1N1) INFECTION; SOCIAL CONTACTS; UNITED-STATES; VIRUS; TRANSMISSION; SPREAD; DISEASE;
D O I
10.1186/1471-2334-10-301
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: The 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. Methods: This 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. Results: During 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. Conclusions: These 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.
引用
收藏
页数:9
相关论文
共 54 条
[1]  
[Anonymous], 2009, EURO SURVEILL, V14
[2]  
[Anonymous], 2008, ANAL CHEM, DOI DOI 10.1021/ac8002352
[3]   The Shifting Demographic Landscape of Pandemic Influenza [J].
Bansal, Shweta ;
Pourbohloul, Babak ;
Hupert, Nathaniel ;
Grenfell, Bryan ;
Meyers, Lauren Ancel .
PLOS ONE, 2010, 5 (02)
[4]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[5]   Cross-Protection between Successive Waves of the 1918-1919 Influenza Pandemic: Epidemiological Evidence from US Army Camps and from Britain [J].
Barry, John M. ;
Viboud, Cecile ;
Simonsen, Lone .
JOURNAL OF INFECTIOUS DISEASES, 2008, 198 (10) :1427-1434
[6]  
Bautista E, 2010, NEW ENGL J MED, V362, P1708, DOI 10.1056/NEJMra1000449
[7]   Clinical Features of the Initial Cases of 2009 Pandemic Influenza A (H1N1) Virus Infection in China [J].
Cao, Bin ;
Li, Xing-Wang ;
Mao, Yu ;
Wang, Jian ;
Lu, Hong-Zhou ;
Chen, Yu-Sheng ;
Liang, Zong-An ;
Liang, Lirong ;
Zhang, Su-Juan ;
Zhang, Bin ;
Gu, Li ;
Lu, Lian-He ;
Wang, Da-Yan ;
Wang, Chen .
NEW ENGLAND JOURNAL OF MEDICINE, 2009, 361 (26) :2507-2517
[8]   Influenza vaccine: The challenge of antigenic drift [J].
Carrat, F. ;
Flahault, A. .
VACCINE, 2007, 25 (39-40) :6852-6862
[9]   Influenza burden of illness - Estimates from a national prospective survey of household contacts in France [J].
Carrat, F ;
Sahler, C ;
Rogez, S ;
Leruez-Ville, M ;
Freymuth, F ;
Le Gales, C ;
Bungener, M ;
Housset, B ;
Nicolas, M ;
Rouzioux, C .
ARCHIVES OF INTERNAL MEDICINE, 2002, 162 (16) :1842-1848
[10]  
Carrat F, 1998, J EPIDEMIOL COMMUN H, V52, p32S