IMPORTANCE OF QUALITY AND UNIFORM DEFINITIONS FOR COVID-19 VACCINATION DATA

Abstract

Objective: This study compares typical metrics using different data processing methods in a Covid-19 vaccination database.  Methods: Data were extracted from the "Vaccine and Trust" system in March 2022, focusing on the state of Espírito Santo due to inconsistencies in the national database following a hacker attack (2021). Results: The analyses revealed 19,221 duplicate records with a more rigorous methodology. Espírito Santo reached 80% coverage for the second dose, but booster and additional doses were lower. Methodological variations led to metric discrepancies, suggesting the need for clear disclosure of the methodology. The study also noted a high proportion of incorrect vaccine sequences, providing possible explanations. Conclusion: We emphasize the need to ensure the collection and processing of solid data and to standardize the analyses. The authors warn of potential obstacles without these measures, influencing the achievement of established goals.