Mathematician Eugene B. Dynkin (1924-2014) conducted over 200 interviews with various mathematicians, and Cornell University Library has digitized this collection. However, that site is currently is broken as it required Flash to play audio and video files, and most of the pages throw PHP errors. In this blog post, we scrap audio and video links to underlying files, along with the metadata, to make this information available again until Cornell fixes its archive.
US West Coast became infected by the coronavirus earlier in the epidemic, with the state of Washington having a first officially recorded COVID-19 case on January 19. Many West Coast companies started WFH policies well ahead of the curve, and a few counties in the Bay Area and Seattle issued “shelter in place” orders before the State did. On the other coast, a mayor of the biggest US city urged his fellow citizens to “go on with your lives + get out on the town despite Coronavirus… thru Thurs 3/5 go see “The Traitor” .”
Let’s compare the dynamics of confirmed cases and growth rates between different US states. While many confounding factors, such as population densities, use of public transportation, use of face masks, weather, administrative restrictions, etc. makes it harder to draw clear conclusions, there is a growing consensus that New York situation got substantially worse because of the city’s delayed response.
We had a Zoom session with a friend yesterday as I was showing him around the Wolfram Language, and one of the questions we discussed is whether there is a correlation between death rate per capita and population density for US states. We could hypothesize that there should be one, In essence, higher population density means higher rates of infection, regardless of what the official number of confirmed cases say, as the testing protocols can be different between different states.
We want to convert a Wolfram Notebook into a jekyll markdown to use on this blog.
Wolfram Research maintains and regularly updates COVID-19 data series in their repository and it provides the US state level data.
The data is stored in a
Dataset, a Wolfram Language’s way to organize and query structured data. It has 51 entries (for 50 US States and the District of Columbia), and tracks the cumulative number of confirmed cases, recovered cases, and deaths for each state by date.
subscribe via RSS