“… 51 Unreliable data quality means that wide variations are difficult to interpret, as it is unclear if the variations are an artifact of the data or if they are true variations. 49 Noting the importance of robust information systems to track coverage and other immunization targets, 12 , 50 newer resources are available such as the Data Quality Self-Assessment tool developed by the WHO Immunization Analysis and Insights Unit. 52 Despite improved data quality over the last 2 decades, gains were not universal, with resource-constrained countries and those with lower immunization performance continuing to have limited to poorer quality data.…”