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Building Data Triangulation Capacity for Routine Immunization and Vaccine Preventable Disease Surveillance Programs

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Integrating multiple data sources, known as data triangulation, helps identify children who missed vaccinations. This approach improves immunization program performance and reduces vaccine-preventable disease outbreaks.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Expanded Programme on Immunization (EPI) and Vaccine Preventable Disease (VPD) Surveillance (VPDS) programs generate diverse, yet siloed, data.
  • Challenges in data accessibility and timely analysis hinder effective programmatic decision-making.
  • Siloed data contribute to missed vaccinations, immunity gaps, and VPD outbreaks, particularly in underserved populations.

Purpose of the Study:

  • To describe data triangulation processes for improving immunization program performance.
  • To identify key indicators for assessing immunization coverage and identifying gaps.
  • To share lessons learned from implementing data triangulation in Bangladesh, Nigeria, and Rwanda.

Main Methods:

  • Data triangulation involving the integration of routine administrative data, VPD case data, and coverage surveys.
  • Prioritization of key indicators to identify immunization coverage gaps, under-immunized (UI), and zero-dose (ZD) children.
  • Capacity building efforts and specific analyses to generate meaningful data for programmatic decision-making.

Main Results:

  • Data triangulation enhances the availability of crucial indicators for identifying immunization coverage inequities.
  • The process effectively identifies under-immunized (UI) and zero-dose (ZD) children, crucial for targeted interventions.
  • Programmatic improvements were observed through better identification of performance gaps at all healthcare system levels.

Conclusions:

  • Data triangulation is a valuable strategy for overcoming data silos in immunization programs.
  • Leveraging triangulation processes and lessons learned can lead to programmatic changes that improve vaccination service access and utilization.
  • This approach supports the identification of UI and ZD children, ultimately strengthening VPD prevention efforts.