Abstract:
BACKGROUND:Influenza disease burden varies by age and this has important public health implications. We compared the proportional distribution of different influenza virus types within age strata using surveillance data from twenty-nine countries during 1999-2014 (N=358,796 influenza cases). METHODS:For each virus, we calculated a Relative Illness Ratio (defined as the ratio of the percentage of cases in an age group to the percentage of the country population in the same age group) for young children (0-4 years), older children (5-17 years), young adults (18-39 years), older adults (40-64 years), and the elderly (65+ years). We used random-effects meta-analysis models to obtain summary relative illness ratios (sRIRs), and conducted meta-regression and sub-group analyses to explore causes of between-estimates heterogeneity. RESULTS:The influenza virus with highest sRIR was A(H1N1) for young children, B for older children, A(H1N1)pdm2009 for adults, and (A(H3N2) for the elderly. As expected, considering the diverse nature of the national surveillance datasets included in our analysis, between-estimates heterogeneity was high (I2>90%) for most sRIRs. The variations of countries' geographic, demographic and economic characteristics and the proportion of outpatients among reported influenza cases explained only part of the heterogeneity, suggesting that multiple factors were at play. CONCLUSIONS:These results highlight the importance of presenting burden of disease estimates by age group and virus (sub)type.
journal_name
BMC Infect Disjournal_title
BMC infectious diseasesauthors
Caini S,Spreeuwenberg P,Kusznierz GF,Rudi JM,Owen R,Pennington K,Wangchuk S,Gyeltshen S,Ferreira de Almeida WA,Pessanha Henriques CM,Njouom R,Vernet MA,Fasce RA,Andrade W,Yu H,Feng L,Yang J,Peng Z,Lara J,Bruno A,ddoi
10.1186/s12879-018-3181-ysubject
Has Abstractpub_date
2018-06-08 00:00:00pages
269issue
1issn
1471-2334pii
10.1186/s12879-018-3181-yjournal_volume
18pub_type
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