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Quality of Federal COVID-19 Data

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Susan Queen, Krycia Cowling, Teresa Manocchio

This analysis applies the Federal Committee on Statistical Methodology's Data Quality Framework to assess the data quality of federal data for understanding and responding to the COVID-19 pandemic, focusing on five COVID-19 indicators: testing, cases, hospitalizations, deaths, and vaccinations. These are assessed over six specific dimensions of data quality: granularity, accessibility, timeliness, coherence, accuracy and reliability, and credibility, resulting in a rating of "does not meet criteria", "partially meets criteria", or "meets criteria" for each indicator and dimension. Major federal platforms for sharing COVID-19 data with the public are also reviewed. Optimal indicators are identified for different applications and recommendations are made to improve the quality of federal COVID-19 data.

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ASPE Issue Brief