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Estimating vaccination coverage for routinely recommended vaccines among children aged 24 months and adolescents aged

Karen A Kirtland1, Trivellore Raghunathan2, Bhavini Patel Murthy3

  • 1Peraton, 2800 Century Parkway NE, Atlanta, GA, USA.

Vaccine
|November 10, 2022
PubMed

Insights

A new model estimates childhood and adolescent vaccination coverage in the U.S. using immunization information system data, showing trends similar to national surveys and enabling timely monitoring for disease prevention.

Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Accurate estimation of vaccination coverage is crucial for monitoring public health and preventing vaccine-preventable diseases.
  • Existing methods may have limitations in timeliness or geographic granularity.
  • Immunization Information Systems (IIS) offer a rich data source for vaccination records.

Purpose of the Study:

  • To develop and validate a model-based approach for estimating routine childhood and adolescent vaccine coverage in the United States.
  • To compare model-based estimates with established national survey data.

Main Methods:

  • A hierarchical model was employed using retrospective cohort data from eleven IIS jurisdictions (2014-2019).
  • Data included vaccination records for approximately 2.4 million children (24 months) and 14.4 million adolescents (13-17 years).
  • Model-based county-level estimates were aggregated nationally and compared with National Immunization Survey (NIS) data.

Main Results:

  • Model-based estimates for most childhood vaccines were within 10 percentage points of NIS-Child estimates.
  • Notable differences included higher model-based estimates for hepatitis B birth dose in children.
  • For adolescents, model-based estimates were within 10 percentage points of NIS-Teen for most vaccines, with lower estimates for varicella, MMR, and Hepatitis B.

Conclusions:

  • A hierarchical model utilizing IIS data provides a viable method for estimating vaccination coverage among children and adolescents.
  • This approach allows for timely analysis and assessment of vaccination trends across the U.S.
  • Real-time monitoring of vaccination coverage supports immunization promotion and protection against vaccine-preventable diseases.
Abstract

Keywords:
AdolescentsChildrenHierarchical modelImmunization information systemsVaccinations

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