via IEEE Spectrum
Researchers have developed a model that uses social-media and search data to forecast outbreaks of Covid-19 well before they occur.
Mauricio Santillana, a Harvard researcher, has developed a model to predict Covid-19 outbreaks two to three weeks in advance, based on social-media and Google search data.
Now, an international team of scientists has developed a model — or, at minimum, the template for a model — that could predict outbreaks about two weeks before they occur, in time to put effective containment measures in place.
In a paper posted on Thursday on arXiv.org, the team, led by Mauricio Santillana and Nicole Kogan of Harvard, presented an algorithm that registered danger 14 days or more before case counts begin to increase. The system uses real-time monitoring of Twitter, Google searches and mobility data from smartphones, among other data streams.
via The New York Times
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