Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2014 Dec 11:14:670.
doi: 10.1186/s12879-014-0670-5.

Natural attack rate of influenza in unvaccinated children and adults: a meta-regression analysis

Affiliations
Meta-Analysis

Natural attack rate of influenza in unvaccinated children and adults: a meta-regression analysis

Kavisha Jayasundara et al. BMC Infect Dis. .

Abstract

Background: The natural (i.e. unvaccinated population) attack rate of an infectious disease is an important parameter required for understanding disease transmission. As such, it is an input parameter in infectious disease mathematical models. Influenza is an infectious disease that poses a major health concern worldwide and the natural attack rate of this disease is crucial in determining the effectiveness and cost-effectiveness of public health interventions and informing surveillance program design. We estimated age-stratified, strain-specific natural attack rates of laboratory-confirmed influenza in unvaccinated individuals.

Methods: Utilizing an existing systematic review, we calculated the attack rates in the trial placebo arms using a random effects model and a meta-regression analysis (GSK study identifier: 117102).

Results: This post-hoc analysis included 34 RCTs (Randomized Control Trials) contributing to 47 influenza seasons from 1970 to 2009. Meta-regression analyses showed that age and type of influenza were important covariates. The attack rates (95% CI (Confidence Interval)) in adults for all influenza, type A and type B were 3.50% (2.30%, 4.60%), 2.32% (1.47%, 3.17%) and 0.59% (0.28%, 0.91%) respectively. For children, they were 15.20% (11.40%, 18.90%), 12.27% (8.56%, 15.97%) and 5.50% (3.49%, 7.51%) respectively.

Conclusions: This analysis demonstrated that unvaccinated children have considerably higher exposure risk than adults and influenza A can cause more disease than influenza B. Moreover, a higher ratio of influenza B:A in children than adults was observed. This study provides a new, stratified and up to-date natural attack rates that can be used in influenza infectious disease models and are consistent with previous published work in the field.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Study flow chart.
Figure 2
Figure 2
Natural attack rate of influenza A in children (A) and adults (B) based on the primary outcome. Children were defined as <18 years and adults as ≥18 years. Abbreviations: CI confidence interval.
Figure 3
Figure 3
Natural attack rate of influenza B in children (A) and adults (B) based on the primary outcome. Children were defined as <18 years and adults as ≥18years. Abbreviations: CI confidence interval.

References

    1. Eisenberg JN, Brookhart MA, Rice G, Brown M, Colford JM., Jr Disease transmission models for public health decision making: analysis of epidemic and endemic conditions caused by waterborne pathogens. Environ Health Perspect. 2002;110:783–790. doi: 10.1289/ehp.02110783. - DOI - PMC - PubMed
    1. Keeling MJ, Rohani P: Modeling Infectious Diseases in Humans and Animals. Princeton University Press; 2007
    1. Vynnycky E, White R: An Introduction to Infectious Disease Modelling. Oxford University Press; 2010
    1. Molinari NA, Ortega-Sanchez IR, Messonnier ML, Thompson WW, Wortley PM, Weintraub E, Bridges CB. The annual impact of seasonal influenza in the US: measuring disease burden and costs. Vaccine. 2007;25:5086–5096. doi: 10.1016/j.vaccine.2007.03.046. - DOI - PubMed
    1. Lee VJ, Chen MI, Yap J, Ong J, Lim WY, Lin RT, Barr I, Ong JB, Mak TM, Goh LG, Leo YS, Kelly PM, Cook AR. Comparability of different methods for estimating influenza infection rates over a single epidemic wave. Am J Epidemiol. 2011;174:468–478. doi: 10.1093/aje/kwr113. - DOI - PMC - PubMed

Publication types