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Effect of Vaccines and Antivirals during the Major 2009 A(H1N1) Pandemic Wave in Norway – And the Influence of Vaccination Timing

Overview of attention for article published in PLOS ONE, January 2012
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Title
Effect of Vaccines and Antivirals during the Major 2009 A(H1N1) Pandemic Wave in Norway – And the Influence of Vaccination Timing
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030018
Pubmed ID
Authors

Birgitte Freiesleben de Blasio, Bjørn G. Iversen, Gianpaolo Scalia Tomba

Abstract

To evaluate the impact of mass vaccination with adjuvanted vaccines (eventually 40% population coverage) and antivirals during the 2009 influenza pandemic in Norway, we fitted an age-structured SEIR model using data on vaccinations and sales of antivirals in 2009/10 in Norway to Norwegian ILI surveillance data from 5 October 2009 to 4 January 2010. We estimate a clinical attack rate of approximately 30% (28.7-29.8%), with highest disease rates among children 0-14 years (43-44%). Vaccination started in week 43 and came too late to have a strong influence on the pandemic in Norway. Our results indicate that the countermeasures prevented approximately 11-12% of potential cases relative to an unmitigated pandemic. Vaccination was found responsible for roughly 3 in 4 of the avoided infections. An estimated 50% reduction in the clinical attack rate would have resulted from vaccination alone, had the campaign started 6 weeks earlier. Had vaccination been prioritized for children first, the intervention should have commenced approximately 5 weeks earlier in order to achieve the same 50% reduction. In comparison, we estimate that a non-adjuvanted vaccination program should have started 8 weeks earlier to lower the clinical attack rate by 50%. In conclusion, vaccination timing was a critical factor in relation to the spread of the 2009 A(H1N1) influenza. Our results also corroborate the central role of children for the transmission of A(H1N1) pandemic influenza.

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Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 8 16%
Student > Master 7 14%
Student > Bachelor 5 10%
Other 3 6%
Other 10 20%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 15 30%
Biochemistry, Genetics and Molecular Biology 3 6%
Agricultural and Biological Sciences 3 6%
Immunology and Microbiology 3 6%
Psychology 3 6%
Other 12 24%
Unknown 11 22%