Almost everyone I know lives in the United States, so I suppose it makes some sense to dig into some detailed U.S. Covid-19 datasets. The current dataset I’m using comes from Wolfram Alpha’s data repository. It’s my first pass at county-level data in the U.S., and includes first three static maps which show the total number of Covid-19 cases per county, Covid-19-related deaths per county, and the case fatality rate per county (deaths/cases).
Covid-19 Coronavirus Cases
This is a nice animation to visualize the spread of the Covid-19 coronavirus across the United States, after it first burst on the U. S. scene in Washington State near Seattle, and in New York City, New York. While most of the earlier outbreaks followed population density patterns, case numbers in the southwestern United States have exploded. For example, the infection rates in California and New Mexico show about a 10% difference, despite California’s population density being nearly fifteen times that of New Mexico, or about a 174% difference.
Deaths Attributed to Covid-19
I think this is pretty straightforward: where you have more Covid-19 cases, you should expect to see more deaths from the virus. As with the spread of new cases, total deaths are concentrated in densely populated metropolitan.
Case Fatality Rate Among Infected Individuals as Attributed to Covid-19
The Case Fatality Rate (CFR) appears to be declining as we enter July. The two most reasonable explanations for this are that coronavirus treatments are improving as we learn how to better deal with the virus and its effects, and that (perhaps fairly) younger people feel less threatened by the virus and are flouting safety precautions and taking advantage of lessening government restrictions.
While we might expect the CFR rate to decline over time, its fluctuations depend on the death rate, which lags around two weeks behind new cases.