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Covid-19: Data Quality and Considerations for Modeling and Analysis

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Report Type Reports and Testimonies
Report Date July 30, 2020
Release Date July 30, 2020
Report No. GAO-20-635SP
Summary:

How many people have COVID-19, and what will the pandemic look like in the future?

Forecasting models can help predict trends such as infection or mortality rates. But these models rely on data that is collected by different jurisdictions and reported under different standards. This makes it harder to compare data across places and over time.

Knowing about these data limitations can improve analysis. For example, since there are challenges tracking COVID-related deaths, COVID-related mortality might be better measured by comparing the number of deaths from all causes during the pandemic with the expected number of deaths for the same period.

Data on Higher-Than-Expected Weekly Mortality for 2020, as of July

Bar chart showing reported deaths

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