The novel coronavirus (COVID-19) has emerged as a global pandemic, and the global death toll has reached 100,000 as of April 10, 2020. Currently the data about COVID-19 are overwhelming, yet the use of these data for combating COVID-19 is still in its early stage. The overarching goal of this project is to make good use of these data by machine learning, to better understand the spread of COVID-19, to facilitate informed decisions by policy makers, and to better allocate the medical resources such as hospital/ICU beds, personal protective equipments (PPEs), ventilators, etc.
In particular, we use the data from JHU Coronavirus Resource Center, The New York Times, and LA county Department of Public Health to visualize and predict the numbers of COVID-19 cases in the world tab, United States tab as well as California tab, and Los Angeles tab on the home page respectively.
We are from the Statistical Machine Learning Lab in the Computer Science Department at UCLA. We are using machine learning and artificial intelligence to combat COVID-19. Contributors include:
We are grateful for the following support received on this project.
This project is supported by Google Maps Platform Crisis Response for data collection and virtualization using Google Maps.