COVID-19: The World’s Crash Course in Data Analysis and Modeling

Published on
August 25th, 2020
Duration
61 minutes


COVID-19: The World’s Crash Course in Data Analysis and Modeling

The Interview ·
Featuring Christina Ramirez and Michael Green

Published on: August 25th, 2020 • Duration: 61 minutes

For much of the population, analysis and projections of COVID-19 cases, mortality, and the associated policy response have brought forward the importance of statistical analysis and modeling techniques that many have never learned and, at best, probably haven't used since long past college years. This has resulted in heated debate, politicization, and huge differences in policy decisions and attitudes across jurisdictions. In this Interview, Christina Ramirez, professor of biostatistics at the UCLA Fielding School of Public Health, sits down with Michael Green of Logica Capital Advisors to help viewers understand the constantly evolving story that the data is telling. Together, they examine the quality of the available data sets, how the consequences of lockdowns have born themselves out in other data like reports of child abuse, and how data indicates that as our knowledge and experience has grown, so too has our ability to combat the pandemic. Viewers can find more info about Christina Ramirez's work and access her updated data sets and charts here: https://github.com/cmramirez/Covid-plots. Filmed on August 19, 2020.