20,000 Hours of Data Entry: Why We Didn’t Automate Our Data Collection
Looking back on a year of collecting COVID-19 data, here’s a summary of the tools we automated to make our data entry smoother and why we ultimately relied on manual data collection.
A Wrap-Up: The Five Major Metrics of COVID-19 Data
As The COVID Tracking Project comes to a close, here’s a summary of how states reported data on the five major COVID-19 metrics we tracked—tests, cases, deaths, hospitalizations, and recoveries—and how reporting complexities shaped the data.
How Probable Cases Changed Through the COVID-19 Pandemic
When analyzing COVID-19 data, confirmed case counts are obvious to study. But don’t overlook probable cases—and the varying, evolving ways that states have defined them.
How Lagging Death Counts Muddled Our View of the COVID-19 Pandemic
During the worst parts of the COVID-19 pandemic, the United States struggled to keep up with COVID-19 death counts.
Dating Data: How We Used Multiple Dating Schemes to Provide the Most Complete Picture of the Pandemic
Throughout our year of tracking COVID-19 tests, cases, and outcomes, we were confronted with data organized by numerous dating schemes. Here’s how we came to understand those dating schemes, and the solution we developed for making the best of them.
How and Why The COVID Tracking Project Built a Screenshot System
A system for regularly capturing static images of state COVID-19 websites helped us produce an archive and verify our published data.
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