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Related Experiment Video

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Vaccination coverage in India: a small area estimation approach.

Santanu Pramanik1, Nithiyananthan Muthusamy1, Rajeev Gera1

  • 1Public Health Foundation of India, Plot 47, Sector 44, Institutional Area, Gurgaon 122002, India.

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Summary

Reliable immunization coverage data for India was lacking post-2009. Small area estimation predicted vaccination rates for all states in 2011, showing reduced rural-urban coverage inequality.

Keywords:
Full immunizationLinear mixed modelMeaslesNational rural health missionShrinkage estimatesVaccination coverage inequality

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Area of Science:

  • Public Health
  • Biostatistics
  • Health Policy

Background:

  • Reliable immunization coverage data for India is limited, with national surveys conducted in 2009 and the Annual Health Survey (AHS-1) covering only 9 states in 2010-11.
  • A significant data gap exists for national immunization coverage indicators since 2009, hindering comprehensive analysis and policy-making.

Purpose of the Study:

  • To predict vaccination coverage rates for all Indian states in 2011 using small area estimation.
  • To assess changes in coverage inequality between rural and urban areas.
  • To evaluate the impact of the National Rural Health Mission on immunization programs.

Main Methods:

  • Employed a linear mixed-effects model combining data from five cross-sectional surveys across different time points.
  • Incorporated sampling error, area-specific random effects, and autocorrelated area-by-time random effects to enhance prediction accuracy.
  • Validated model-based estimates against AHS-1 data for nine states, confirming reliability due to near-identical results.

Main Results:

  • Model-based estimates for 2011 vaccination coverage were generated for all 35 Indian states and union territories.
  • Significant reduction in coverage inequality between rural and urban populations observed across most Indian states.
  • Evidence suggests the National Rural Health Mission positively influenced rural immunization coverage, narrowing urban-rural gaps.

Conclusions:

  • Small area estimation provides a reliable method for predicting national vaccination coverage where data is scarce.
  • The National Rural Health Mission appears to have effectively reduced disparities in immunization coverage between rural and urban India.
  • Continued monitoring and data collection are crucial for tracking progress and addressing persistent challenges in public health initiatives.