Identification of Spatial Clusters of Undervaccination Patterns Among Children Aged <24 Months Using Immunization

Sophia R Newcomer1, Jon Graham2, Kayla Irish3

  • 1School of Public and Community Health Sciences and Center for Population Health Research, University of Montana, Missoula, MT, USA.

Insights

Spatial clustering of undervaccination in Montana children under two poses risks for vaccine-preventable diseases. Targeted interventions are crucial for improving childhood vaccination rates in specific geographic areas.

Area of Science:

  • Public Health
  • Epidemiology
  • Immunization Practices

Background:

  • Spatial clustering of undervaccination increases vulnerability to vaccine-preventable diseases.
  • Identifying geographic patterns of incomplete childhood immunizations is critical for public health interventions.

Purpose of the Study:

  • To identify and characterize spatial clusters of undervaccination among children under 24 months in Montana.
  • To differentiate undervaccination patterns related to parental hesitancy versus structural barriers.

Main Methods:

  • Analysis of deidentified vaccination records from Montana's immunization information system for children born between January 2015 and November 2017.
  • Utilized Bernoulli spatial scans with geomasked residential addresses to detect clusters (>=100 children) for three undervaccination outcomes.
  • Calculated relative risk for undervaccination within identified spatial clusters.

Main Results:

  • Of 31,201 children, 37.5% did not complete the 7-vaccine series by age 24 months, with 5 spatial clusters identified.
  • Four clusters of undervaccination linked to parental vaccine hesitancy were found in western Montana, one with a relative risk of 2.3.
  • Four clusters of undervaccination linked to structural barriers were identified, predominantly in eastern Montana.

Conclusions:

  • Distinct strategies are necessary to increase routine and timely childhood vaccinations across Montana's diverse rural landscape.
  • Immunization information system data effectively identifies specific areas requiring targeted vaccination interventions.
Abstract