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Stanford Team Uses Data to Help California Track & Prevent COVID-19

person with gloves wearing a face mask with California flag on it
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Jul 13 2020
Fellow, Research, Stanford, Students

As the COVID-19 pandemic begins to spike again in California, a team of Stanford modeling experts is working around the clock to pump data into a new assessment tool that is helping California hospitals and public health officials determine their next moves.

The California COVID Assessment Tool, or CalCAT, contains assessments of the spread of COVID-19 in short-term forecasts of disease trends, and presents scenarios of the course of the disease across the 21 counties that represent 95% of the cumulative cases in the Golden State.

The SC-COSMO team includes Anneke Claypool, a 2017 Stanford Interdisciplinary Graduate Fellow, and Tess Ryckman, a 2016 Stanford Graduate Fellow.

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