How Google Search Data Can Predict COVID-19 Outbreaks

While some of the behaviors that lead to SARS-CoV-2 infections are clear, new waves of COVID-19 cases do not always follow predicted patterns.

Now, however, a study from researchers at New York University’s Courant Institute of Mathematical Sciences describes a possible means of spotting infection surges before they happen through the analysis of online searches.

The researchers discovered a correlation between a surge in searches relating to activities outside the home — activities that could put people at risk of SARS-CoV-2 infection — and a rise in COVID-19 cases 10–14 days afterward. Infections fell when there was an increase in searches relating to stay-at-home activities. Read more…..


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While COVID-19 cases continue to drop across the country, experts are still worried about the spread of variant strains of the virus. Meanwhile, the brutal weather is continuing to hamper the vaccination push.

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