Discussion of “COVID vaccine data quality, cleaning, and management”

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Authors: Victoria S. Jordan
Cited by: 0

Abstract

The article by Dr. Rigdon et al. highlights the importance of assessing and addressing errors in collected data. One cannot make informed decisions if the data is incorrectly assumed to be complete and accurate. The authors share innovative and reasonable approaches to addressing “gaps” in the data in order to use the data for further research. This is critical for any work using this data to analyze the vaccination rates during the COVID pandemic. It also highlights questions about how such data is collected. Perhaps work such as this will lead us to rethink the decentralized approach to collecting health data across states (and sometimes by county within states) and the need to implement a standard approach to collecting and reporting health information.

Fields of Study & Subjects

Data Quality and Management Medical Coding and Health Information Survey Methodology and Nonresponse

Publication details

Journal / source
Quality Engineering
Volume
38
Issue
1
Pages
87–88
Publication date
2 January 2026
Language
EN