Strengthening the WHO Regional Office for Africa (WHO Afro) Covid-19 vaccination information system
Bibliographic Data
This manuscript describes the process and impact of strengthening the WHO Regional Office for Africa (WHO AFRO)’s COVID-19 vaccination information system. This system plays a critical role in tracking vaccination coverage, guiding resource allocation and supporting vaccination campaign roll-out for countries in the African region. Recognising existing data management issues, including complex reporting prone to human error, compromised data quality and underutilisation of collected data, WHO AFRO introduced significant system improvements during the COVID-19 pandemic. These improvements include shifting from an Excel-based to an online Azure-based data collection system, automating data processing and validation, and expansion of collected data. These changes have led to improvements in data quality and quantity including a decrease in data non-validity, missingness, and record duplication, and expansion of data collection forms to include a greater number of data fields, offering a more comprehensive understanding of vaccination efforts. Finally, the creation of accessible information products—including an interactive public dashboard, a weekly data pack and a public monthly bulletin—has improved data use and reach to relevant partners. These resources provide crucial insights into the region’s vaccination progress at national and subnational levels, thereby enabling data-driven decision-making to improve programme performance. Overall, the strengthening of the WHO AFRO COVID-19 vaccination information system can serve as a model for similar efforts in other WHO regions and contexts. The impact of system strengthening on data quality demonstrated here underscores the vital role of robust data collection, capacity building and management systems in achieving high-quality data on vaccine distribution and coverage. Continued investment in information systems is essential for effective and equitable public health efforts
Business · Dashboard · Data collection · Data management · Data mining · Data quality · Data science · Information system · Pandemic · Political science · Process management · Public health · Statistics · Vaccination · Artificial Intelligence in Healthcare · Computer Science · COVID-19 epidemiological studies · Medicine · Nursing · Vaccine Coverage and Hesitancy · Marketing
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