We are an interdisciplinary coalition hosted by AFI DSI, with people from UW-Madison, local & state government, industry, and other academic institutions curating information as fast as we can. The White House Office of Science and Technology Policy (OSTP) has issued a call for tech and AI experts to develop new text and data mining techniques to help answer high-priority scientific questions related to COVID-19. We are are committed to sharing our own data models and visualizations, as well as those shared by other institutions and news organizations. Read more about our goals in our COVID-19 Data Research Charter.
Going the Distance Together
We’re working to provide results, but raw data and model assumptions are evolving quickly, changing without notice. The COVID-19 pandemic is a complex medical and sociological event: data have biases that make interpretation tricky, and data models are limited by assumptions and data. Remember, COVID-19 cases are continuing to climb. Be positive, stay negative.
Local Data Visualizations
Data Repositories and Code Resources
- COVID-19 Open Research Dataset (CORD-19)
- CHIME repository
- MIDAS Portal for Modeling COVID-19
- Avi Schiffman’s nCoV2019 repository
- Johns Hopkins CSSE COVID-19 Data Repository
- Data Science for COVID-19 in South Korea
- Italy COVID-19 data repository
- Top 5 R Resources for COVID-19 Data
- Open Source COVID-19: list of open-source projects
- Covid Tracking Project
National and Global Data Visualizations
- U.S. COVID-19 Atlas (University of Chicago Spatial Data Center)
- HealthMap (Boston Children’s Hospital)
- Google COVID Mobility Reports
- Coronavirus in the U.S.: Latest Map and Case Count (The New York Times)
- Coronavirus in the U.S. and Canada (1.3Acres)
- COVID Act Now
- Covid Tracking Project
- Comparing Spread in the U.S. and Globally
- COVID-19 Global Cases (Johns Hopkins Center for Systems Science and Engineering)
- Global Infection Trends (University of Washington)
- Pandemic Cases app (Brian Yandell, UW-Madison)
- COVID-19 Trends (University of Virginia)
- nCoV2019 Dashboard
Data Science Stories
Understanding a global pandemic requires creating community around studying it and making any discovery understandable for the public. It’s an aim of our group, and other collaborative efforts around understanding the effects of COVID-19 are popping up around the world.
31 March 2020 UW-Madison MPH Program Webinar: COVID-19: Being an Effective Opinion Leader (56 min).
The ASA has created the COVID-19 Data, Statistics, and Research and Discussion group.
MIDAS is looking to grow its community of data scientists interested in COVID-19 modeling research.
Data science can contribute to helping the world navigate and understand how to mitigate this pandemic. We’re featuring some stories that highlight data science’s role in prevention, mitigation, and relief efforts.
- Starting around 15 years ago, Neil Ferguson developed pandemic models for influenza, and recently developed an agent-based continuous time model for COVID-19 that influenced action in the U.S. and the U.K.
- Coronavirus: Why You Must Act Now, features data from the spread of this pandemic, and covers the handling of public health crises since the Spanish Influenza of 1918.
- Some Cities Could Have Coronavirus Outbreaks Worse than Wuhan’s.
- Democracy Now! interviewed Avi Schiffman, the creator of the nCoV2019.live.
- Caltech scientists examine COVID-19 by the numbers.
- Social distancing “flattened the curve” in 1918, too.
- Covid-19 in India: A data-centric summary