<div dir="ltr">The New York Times had an article on Friday (link below) that included visualizations of the results of epidemiological models, like those Andrew was talking about in the stats reading group during the week. Anyone interested in learning more about these kinds of models and how to visualize and interact with them? There may be some tough decisions for the government to take in the coming months, as they try to balance economic harm with control of the pandemic. E.g. what would be the impact on the virus spread if there were periods of lock down to interrupt it interspersed with periods of return to normality? What would be the impact of localized actions guided by more widespread testing with short turnaround time? (new tests are in development) These, and other possible future options, would probably require going beyond the standard SIR models (as far as I know). If we can do the modeling and, more importantly, come up with tools for policymakers to interact with the results of the models it could be useful. <a href="https://www.nytimes.com/interactive/2020/03/13/opinion/coronavirus-trump-response.html" target="_blank">https://www.nytimes.com/interactive/2020/03/13/opinion/coronavirus-trump-response.html</a></div>