[Evaluation of the influenza vaccine effectiveness among children aged 6 to 72 months based on the test-negative case

S Y Luo1, J L Zhu2, M Z Lyu3

  • 1Department of Immunization Program, Yiwu Municipal Center for Disease Control and Prevention, Yiwu 322000, China.

Insights

The seasonal influenza vaccine demonstrated 58% effectiveness in children aged 6-72 months across two flu seasons. Vaccine effectiveness was higher in older children (36-72 months) compared to younger children (6-35 months).

Area of Science:

  • Pediatric infectious diseases
  • Vaccinology
  • Public health surveillance

Background:

  • Seasonal influenza poses a significant health risk to children globally.
  • Vaccination is a primary strategy for influenza prevention.
  • Assessing vaccine effectiveness (VE) in pediatric populations is crucial for public health policy.

Purpose of the Study:

  • To evaluate the effectiveness of the seasonal influenza vaccine in children aged 6 to 72 months.
  • To compare VE across different age strata within the pediatric population.
  • To analyze VE for specific influenza virus types and across different seasons.

Main Methods:

  • A test-negative case-control study utilizing surveillance data from the China Influenza Surveillance Information System (CSIS).
  • Inclusion of 1,161 children aged 6-72 months with influenza-like illness from October 2016 to April 2018.
  • Multivariate logistic regression and propensity score methods were employed to estimate vaccine effectiveness.

Main Results:

  • Overall VE against all influenza types combined was 58% (95% CI: 31%-74%) for the two seasons.
  • VE was significantly higher in children aged 36-72 months (68%; 95% CI: 41%-82%) compared to those aged 6-35 months (28%; 95% CI: -80%-71%).
  • VE against influenza A (H3N2) was 65% (95% CI: 24%-83%) during the 2016-2017 season.

Conclusions:

  • The seasonal influenza vaccine is effective in preventing influenza virus infection in children.
  • Vaccine effectiveness is notably higher in children aged 36-72 months.
  • Findings support continued influenza vaccination programs for children, with potential age-specific considerations.

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
51.3K
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
633
PI Controller: Design01:24

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.2K
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
192
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.3K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
929