Research Resource: Journalists’ Guide to COVID Data and Metrics
Although the recently published Journalists’ Guide to COVID Data was developed for journalists by the Radio Television Digital News Association (RTDNA) it will likely be of value to other audiences including librarians and educators.
From the Guide:
Watch a press conference, turn on a newscast, or overhear just about any phone conversation these days and you’ll hear mayors discussing R values, reporters announcing new fatalities and separated families comparing COVID case rolling averages in their counties. As coronavirus resurges across the country, medical data is no longer just the purview of epidemiologists (though a quick glance at any social media comments section shows an unlikely simultaneous surge in the number of virology experts and statisticians).
Journalists reporting on COVID, however, have a particular obligation to understand the data, to add context and to acknowledge uncertainty when reporting the numbers.
This guide to common COVID metrics is designed to help journalists know how each data point is calculated, what it means and, importantly, what it doesn’t mean.
Topics Covered Include:
- Number of Positive Cases
- Positivity Rate
- Infection Rate
- Recovered Cases
- Fatality Rate
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.