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. 2018 Feb 1;187(2):378-388.
doi: 10.1093/aje/kwx270.

Heterogeneity in Estimates of the Impact of Influenza on Population Mortality: A Systematic Review

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Heterogeneity in Estimates of the Impact of Influenza on Population Mortality: A Systematic Review

Li Li et al. Am J Epidemiol. .

Abstract

Influenza viruses are associated with a substantial global burden of morbidity and mortality every year. Estimates of influenza-associated mortality often vary between studies due to differences in study settings, methods, and measurement of outcomes. We reviewed 103 published articles assessing population-based influenza-associated mortality through searches of PubMed and Embase, and we identified considerable variation in the statistical methods used across studies. Studies using regression models with an influenza activity proxy applied 4 approaches to estimate influenza-associated mortality. The estimates increased with age and ranged widely, from -0.3-1.3 and 0.6-8.3 respiratory deaths per 100,000 population for children and adults, respectively, to 4-119 respiratory deaths per 100,000 population for older adults. Meta-regression analysis identified that study design features were associated with the observed variation in estimates. The estimates increased with broader cause-of-death classification and were higher for older adults than for children. The multiplier methods tended to produce lower estimates, while Serfling-type models were associated with higher estimates than other methods. No "average" estimate of excess mortality could reliably be made due to the substantial variability of the estimates, partially attributable to methodological differences in the studies. Standardization of methodology in estimation of influenza-associated mortality would permit improved comparisons in the future.

Keywords: epidemiologic methods; influenza; mortality; systematic reviews.

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Figures

Figure 1.
Figure 1.
Selection of studies included in a systematic review of the impact of influenza on population mortality.
Figure 2.
Figure 2.
Annual numbers of publications on studies of influenza-associated mortality as of March 22, 2016.

References

    1. World Health Organization Influenza (seasonal). http://www.who.int/mediacentre/factsheets/fs211/en/. Accessed April 28, 2016.
    1. Metersky ML, Masterton RG, Lode H, et al. . Epidemiology, microbiology, and treatment considerations for bacterial pneumonia complicating influenza. Int J Infect Dis. 2012;16(5):e321–e331. - PubMed
    1. Lee KH, Gordon A, Foxman B. The role of respiratory viruses in the etiology of bacterial pneumonia: an ecological perspective. Evol Med Public Health. 2016;2016(1):95–109. - PMC - PubMed
    1. Warren-Gash C, Smeeth L, Hayward AC. Influenza as a trigger for acute myocardial infarction or death from cardiovascular disease: a systematic review. Lancet Infect Dis. 2009;9(10):601–610. - PubMed
    1. Thompson WW, Comanor L, Shay DK. Epidemiology of seasonal influenza: use of surveillance data and statistical models to estimate the burden of disease. J Infect Dis. 2006;194(suppl 2):S82–S91. - PubMed

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