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. 2017 Jun 30;187(2):378–388. doi: 10.1093/aje/kwx270

Table 2.

Results of a Meta-Regression Analysis Conducted to Identify Variables That Influence Estimates of Influenza-Associated Mortality

Variable Change in Annual No. of Excess Deaths (per 100,000 Persons) 95% Confidence Interval P Value
Age group, yearsa
 Children (ages ≤14 years) 0 Referent
 Adults (ages 15–64 years) 2 −10, 15 0.694
 Older adults (ages ≥65 years) 57 46, 67 <0.001
Whether the estimate was for seasonal periods or pandemic periods
 Seasonal 0 Referent
 2009 pandemic −23 −33, −13 <0.001
Cause of death
 Pneumonia and influenza 0 Referent
 Respiratory diseases 11 −2, 25 0.105
 Respiratory and cardiovascular diseases 29 16, 42 <0.001
 All causes 43 32, 54 <0.001
Statistical modeling technique
 Multiplier method 0 Referent
 Regression model with a proxy for influenza activity 30 −5, 65 0.096
 Serfling-type model 40 3, 77 0.033
 Other 30 −6, 67 0.101
Income level of country/regionb
 High 0 Referent
 Middle 3 −14, 19 0.766
Climatic zone
 Temperate 0 Referent
 Tropical/subtropical 5 −7, 18 0.408

a Only studies reporting age-specific estimates of the influenza-associated mortality rate were included in the analysis.

b Income level in the middle year of the study period as reported by the World Bank (121) was used to classify the income level of a country or region. If no national income data were available for a specific year, the year closest to the study period with national income reported by the World Bank was used for the analysis.