Q&A: Digital tools and WUENIC: Strengthening immunization data for better decision-making
Special featue with the WHO/HQ - Immunization Data Team.
1. How do digital tools contribute to improving the quality and timeliness of immunization data used for the WHO/UNICEF estimates of national immunization coverage (WUENIC) estimates?
At national and subnational level digital tools strengthen immunization programmes by transforming data from a delayed reporting product into a near real-time management resource. HMIS, EIRs, LMIS, and GIS improve timeliness, completeness, accuracy, validation, analysis, and use of immunization data, enabling health workers and programme managers to make faster and better-informed decisions to improve vaccination coverage and equity.
At global level the eJRF platform – a web based data collection tool strengthens the WUENIC estimation process by providing standardized, timely, and validated immunization programme data from countries. Built‑in quality checks, access to historical information, documentation of contextual factors, and improved data completeness help WHO and UNICEF assess reported administrative coverage more accurately and triangulate it with survey and other evidence. As a result, eJRF contributes to more transparent, evidence-based, and reliable WUENIC estimates.
Information on the eJRF is accessible from here.
2. What are the main challenges countries face in collecting and reporting immunization coverage data, and how can digital solutions help address them?
Countries face challenges with incomplete reporting, poor data quality, inaccurate denominators, and limited ability to track individual vaccination status. Digital solutions such as HMIS platforms, Electronic Immunization Registries, automated validation checks, and GIS tools help improve the completeness, accuracy, timeliness, and usefulness of immunization coverage data for programme monitoring and decision-making.
A further challenge faced by many countries is the limited availability of skilled human resources for immunization monitoring and data management. Data collection, reporting, analysis, and use often depend on a small number of staff who may have competing responsibilities. Inadequate training on recording and reporting tools, insufficient analytical skills, and high staff turnover can result in inconsistent reporting practices, loss of institutional memory, and persistent data quality issues. While digital technologies can simplify processes and automate quality checks, they cannot replace the need for a well-trained and adequately staffed workforce. Sustainable improvements in immunization coverage monitoring require simultaneous investment in digital governance, digital systems and human capacity at national and subnational levels.
3. How do WUENIC estimates support countries in identifying immunity gaps and informing immunization programme decisions?
WUENIC estimates provide countries with the best available assessment of immunization coverage at the national level by synthesizing multiple data sources. They help identify immunity gaps, estimate the number of zero-dose and under-immunized children, track progress over time, guide targeting of interventions, and support evidence-based immunization programme planning and policy decisions.
While WUENIC provides an independent and standardized assessment of national immunization coverage, programme decisions are often made at subnational levels where immunity gaps can be masked by national averages. Countries therefore need more granular analyses to identify underserved districts, communities, and population groups. To support local decision-making, countries are encouraged to conduct systematic data triangulation at subnational level, combining administrative coverage data, survey findings, Electronic Immunization Registry data, population estimates, surveillance data, and programme information. Similar to the WUENIC approach, this process helps assess the consistency of different data sources, identify likely data quality issues, and generate the best possible understanding of local coverage and immunity gaps to guide targeted interventions and resource allocation. The Health Equity Assessment Toolkit (HEAT) can furthermore help with the analysis of equity data collected in surveys.
4. Can you share examples of how countries are using digital technologies to strengthen immunization monitoring and improve vaccination coverage?
Digital technologies help countries move from delayed, paper-based reporting systems to more timely, accurate, and actionable immunization monitoring. Electronic Immunization Registries, online HMIS platforms, mobile reminder systems, LMIS, digital cold chain monitoring, GIS, and mobile data collection tools all contribute to better identification of unvaccinated children, stronger programme management, and ultimately improved vaccination coverage. However, the greatest benefits are achieved when these technologies are integrated and their data are routinely used to guide programme action and improve equity in immunization services
5. Looking ahead, what innovations in digital health and data systems have the greatest potential to enhance immunization programmes and the future of WUENIC?
Looking ahead, the most important innovations are not those that directly improve WUENIC, but those that strengthen immunization information systems at national and subnational levels. WUENIC is fundamentally a secondary product that synthesizes and evaluates data generated by countries. Therefore, the future quality and usefulness of WUENIC will depend on sustained investments in country-owned systems that improve the availability, quality, and use of immunization data at the point where decisions are made.
Key priorities include the expansion of Electronic Immunization Registries (EIRs), interoperable health information systems, digital birth registration, logistics and cold-chain information systems, geospatial population mapping, and routine subnational data triangulation. These innovations can help countries identify zero-dose and under-immunized children, improve monitoring of vaccination timeliness, strengthen denominator estimates, and generate more reliable local coverage assessments.
Perhaps most importantly, countries should institutionalize systematic data triangulation at national and subnational levels, combining administrative data, surveys, registry data, surveillance information, and population estimates to develop the best possible understanding of coverage and immunity gaps. This approach mirrors the principles used by WUENIC but shifts the focus from annual national estimates to routine programme management and local action.
For these innovations to have lasting impact, they must be sustainable. Digital tools should be integrated into national health information systems, supported by long-term financing, local technical capacity, strong governance, and routine use by programme managers. Before embarking on digital health pilots, countries would be well-served to assess their readiness and guide their digital transformation with a clear vision and realistic plan. When countries have robust and sustainable data systems that support decision-making at district and national levels, WUENIC will naturally benefit from higher-quality evidence, while immunization programmes themselves will be better equipped to identify and close immunity gaps.
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Further resources on WUENIC, here
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