CMU Using Google Searches To Get Ahead Of Next COVID-19 Wave

There are 5 interactive maps show data across the U.S.

Lynne Hayes-Freeland
April 23, 2020 - 4:23 pm


PITTSBURGH (Newsradio 1020 KDKA) - Carnegie Mellon Researchers are using Google searches to help predict the next wave on COVID-19 to help them not only flatten the curve but get ahead of it.

Delphi Research co-lead Ryan Tibshirani tells KDKA Radio’s Lynne Hayes-Freeland.

“If you can figure out that that people are searching for symptoms, that’s’ usually a good sign that something is going on,” said Tibshirani.

The CMU team has been using influenza forecasting methods to assist the CDC during the pandemic.

Doctors often test for flu before coronavirus.

 “Because flu tests are very widely available and there’s no issues at this point about capacity so they give them a flu test to rule out influenza,” said Tibshirani.

The COVID Cast program is comprised of five interactive maps created by different data sets from counties across the U.S.

You can see those maps here.

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