tetano
Editor, Senior Moderator
J Infect. 2013 Nov 28. pii: S0163-4453(13)00373-3. doi: 10.1016/j.jinf.2013.11.013. [Epub ahead of print]
The burden of influenza in England by age and clinical risk group: a statistical analysis to inform vaccine policy.
Cromer D, Hoek AJ, Jit M, Edmunds WJ, Fleming D, Miller E.
Source
Complex Systems in Biology Group, Centre for Vascular Research, University of New South Wales, Sydney, Australia. Electronic address: d.cromer@unsw.edu.au.
Abstract
OBJECTIVES:
To assess the burden of influenza by age and clinical status and use this to inform evaluations of the age and risk-based influenza vaccination policy in the United Kingdom.
METHODS:
Weekly laboratory reports for influenza and 7 other respiratory pathogens were extracted from the national database and used in a regression model to estimate the proportion of acute respiratory illness outcomes attributable to each pathogen.
RESULTS:
Influenza accounted for ∼10% of the attributed respiratory admissions and deaths in hospital. Healthy children under five had the highest influenza admission rate (1.9/1,000). The presence of co-morbidities increased the admission rate by 5.7 fold for 5-14 year olds (from 0.1 to 0.56/1000), the relative risk declining to 1.8 fold in 65+ year olds (from .46 to .84/1000). The majority (72%) of influenza-attributable deaths in hospital occurred in 65+ year olds with co-morbidities. Mortality in children under 15 years was low with around 12 influenza-attributable deaths in hospital per year in England; the case fatality rate was substantially higher in risk than non-risk children. Infants under 6 months had the highest consultation and admission rates, around 70/1000 and 3/1000 respectively.
CONCLUSIONS:
Additional strategies are needed to reduce the remaining morbidity and mortality in the high-risk and elderly populations, and to protect healthy children currently not offered the benefits of vaccination.
? 2013 Published by Elsevier Ltd on behalf of The British Infection Association.
KEYWORDS:
Disease Burden, Influenza, Modelling, Policy, Regression, Vaccination
PMID:
24291062
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24291062
The burden of influenza in England by age and clinical risk group: a statistical analysis to inform vaccine policy.
Cromer D, Hoek AJ, Jit M, Edmunds WJ, Fleming D, Miller E.
Source
Complex Systems in Biology Group, Centre for Vascular Research, University of New South Wales, Sydney, Australia. Electronic address: d.cromer@unsw.edu.au.
Abstract
OBJECTIVES:
To assess the burden of influenza by age and clinical status and use this to inform evaluations of the age and risk-based influenza vaccination policy in the United Kingdom.
METHODS:
Weekly laboratory reports for influenza and 7 other respiratory pathogens were extracted from the national database and used in a regression model to estimate the proportion of acute respiratory illness outcomes attributable to each pathogen.
RESULTS:
Influenza accounted for ∼10% of the attributed respiratory admissions and deaths in hospital. Healthy children under five had the highest influenza admission rate (1.9/1,000). The presence of co-morbidities increased the admission rate by 5.7 fold for 5-14 year olds (from 0.1 to 0.56/1000), the relative risk declining to 1.8 fold in 65+ year olds (from .46 to .84/1000). The majority (72%) of influenza-attributable deaths in hospital occurred in 65+ year olds with co-morbidities. Mortality in children under 15 years was low with around 12 influenza-attributable deaths in hospital per year in England; the case fatality rate was substantially higher in risk than non-risk children. Infants under 6 months had the highest consultation and admission rates, around 70/1000 and 3/1000 respectively.
CONCLUSIONS:
Additional strategies are needed to reduce the remaining morbidity and mortality in the high-risk and elderly populations, and to protect healthy children currently not offered the benefits of vaccination.
? 2013 Published by Elsevier Ltd on behalf of The British Infection Association.
KEYWORDS:
Disease Burden, Influenza, Modelling, Policy, Regression, Vaccination
PMID:
24291062
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24291062