Enhancing the Public Health Data Ecosystem for COVID-19 Prevention
Overview of Study Aims
Nelson and her team are building an integrated geospatial data ecosystem for examining geographic clustering and unequal burden of COVID-19 by income, race/ethnicity, and household crowding, and other social determinants of health. They will begin with Santa Clara and Solano Counties, but the system is scalable to all 58 CA counties. This work will enable public health agencies to identify individual and contextual risk factors for SARS-CoV-2 infection, and predict and prevent future outbreaks.
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Support E&PH COVID-19 Research
To support COVID-19 research currently being conducted in the Department of Epidemiology & Population Health, visit Stanford Medicine's "Support COVID-19 Clinical Care and Research" webpage. Click the "Make a Gift to Research" button, and then, in the "Special Designations" field, enter "Department of Epidemiology & Population Health COVID-19 Research". You can also free free to specify a project you would like your gift to support.