Our Mission

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. As of the Mar 2023, we ceased updating the website since most of our dataset sources stopped updating

Data Sources

The data sources used on this website include JHU Coronavirus Resource Center, The New York Times, Worldometers.info, 1point3acres and LA county Department of Public Health

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.

Team Members

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:

Acknowledgement

We are grateful for the following support received on this project.

Google Maps Platform

This project is supported by Google Maps Platform Crisis Response for data collection and virtualization using Google Maps.

National Science Foundation

This project is supported by CCF-2200274.