UCSF COVID-19 Research Data Mart available for UCSF IRB approved studies. (IRB #20-30545, COVID-19 collaborative study for prospective and retrospective computational analysis). Facilitate access for UCSF researchers who would like access to these identified data for research. Data extracts from the UCSF Electronic Health Record System (APeX) include patients who have been tested for or diagnosed with COVID-19.
UC BRAID has assembled a team of clinicians, investigators and bioinformaticists from each campus to work with the UCHDW team to create CORDS. By combining patient data from the 5 medical centers, investigators will be enabled to make discoveries they otherwise couldn’t using local data alone. The data set will evolve over time and become more valuable as we include more patients and more clinical depth in the form of additional captured elements.
Streamlined access to CA testing, case, and death data from CPDH. Includes cases, individual positive and negative tests, hospitalizations, deaths, and aggregated data at zip code and census track level
Interactive population health mapping website that curates publicly available data and visualizes it at the census tract level. Includes regularly updated information on COVID-19 data in California. Data available for download.
The COVID Racial Data Tracker tracks the impact of COVID on different communities by collecting, publishing, and analyzing racial data on the pandemic from across the United States. It is a collaboration of the COVID Tracking Project and the Antiracist Research & Policy Center.
This visualization shows the impact of intervention strategies and their combinations on the spread of COVID-19. A collaboration between researchers at Berkeley, University of Illinois, and Georgia Tech.
2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Includes all global cases. Full data is available for download on Github
A network of infectious disease epidemiologists working with technology companies to use aggregated mobility data to support the COVID-19 response. The goal is to provide daily updates to decision-makers at the state and local levels on how well social distancing interventions are working, using anonymized, aggregated data sets from mobile devices, along with analytic support for interpretation.
A data collection focusing on the social, behavioral, public health, and economic impact of the novel coronavirus global pandemic from the Inter-university Consortium for Political and Social Research (ICPSR)
CAS has built an open source dataset assembled from CAS REGISTRY® including known anti-viral drugs and related chemical compounds that are structurally similar to known antivirals. The dataset license terms support use for applications including research, data mining, machine learning, and analytics at no charge.
Understanding Coronavirus in America is a survey of attitudes and behaviors around the Novel Coronavirus pandemic in the United States. The survey was launched on March 10, and includes a national bi-weekly long-form questionnaire and a weekly Los Angeles County short-form questionnaire administered in each bi-weekly wave. The Understanding America Study (UAS) is a panel of households at the University of Southern California (USC) of approximately 9,000 respondents representing the entire United States.