Beyond Case Counts: Making COVID-19 Clinical Data Available and Useful – Aug 13, 2020

By July 23, 2020August 11th, 2020Blog, Events

Thurs, August 13th, 9am PDT/12pm EDT/18:00 CEST – Register now!

Hosted by the COVID-19 Data Forum/Stanford Data Science Initiative/R Consortium

COVID-19 is the first pandemic to occur in the age of open data. Public health agencies around the world are releasing case counts to the public, and scientists are providing analyses and forecasts in real-time. However, the content of this data has so far been limited to simple metrics like cases, deaths, and hospitalizations at coarse geographic and demographic scales. To drive the next phase of COVID-19, scientists need access to higher-dimensional patient-level data, so we can understand how the virus causes disease, why are some more at risk than others, when and how is transmission occurring, what therapeutics are more likely to work, and what healthcare resources are being used. But sharing such data brings up tremendous challenges in terms of patient privacy and data standardization. The COVID-19 Data Forum, a collaboration between Stanford University and the R Consortium, is hosting the event “Beyond case counts: Making COVID-19 clinical data available and useful” to push the conversation forward on these issues. The event will include talks by representatives from international collaborative teams who are working to collect and share detailed clinical and biological data from individuals with COVID-19. The event will be open to the public, and is part of a continuing series focusing on data-related aspects of the scientific response to the pandemic.


Speakers include:

  • Jenna Reps, Observational Health Data Sciences & Informatics (OHDSI) Consortium /Janssen R&D
  • Andrea Ganna, COVID-19 Host Genetics Initiative/Harvard Medical School/Finland Institute for Molecular Medicine
  • Ken Massey, EndPandemic National Data Consortium/Saama Technologies
  • Ryan Tibshirani, DELPHI epidemic forecasting group/Dept of Statistics, Carnegie Mellon University

Registration and more info: https://covid19-data-forum.org