Using data science to allocate COVID-19 resources, address demographic disparities
By borrowing simple concepts from machine learning to identify disparities in COVID-19 testing, Stanford researchers helped Santa Clara County expand their door-to-door outreach in a Latinx community that was affected disproportionately by the pandemic.
