Since JHU started separating COVID-19 data into world and US categories, I have mostly been showing the data separately. Now with the US cases emerging as the worst in the world, I’m showing them combined to give people a sense of what is happening.
World Sorted by Deaths per 1000 population
Above is the data sorted into the categories that I think are the most informative. These are the ones I’ve been showing for a while. What we see here when sorted by Deaths per 1000 population is that the worst-hit US States are at the top of the list. We also see some of the European countries which had previously topped this list moving their way down the list. Of course, as a death is kind of final, the only way to move down is for someone to pass you up. Note that Sweden, who is famously not really doing social distancing is moving up the list with a fairly high rate of change in the deaths category.
World Data sorted by the Highest Death Rates.
The above is sorted by the slope of the Deaths per 1000 population curve (IROC_d_n), so it represents the areas where the death rate is currently the highest. Note that this number can change from day to day, so more than the Deaths per 1000 table at the top, this represents today’s status (vs. deaths that happened a week ago). In this table we can see that countries like Spain have slowing death rates. They still reported 300 Spanish deaths yesterday, but the rate is slowing. New York’s rate of change for deaths is about 4.5x greater than Spain’s right now. Since these deaths are normalized by population, this is a legitimate comparison. Also note that the change in the slope (dIROC_d_n) shows that New York and Belgium’s death rate is increasing. This means that their death rates are accelerating more than others. New Jersey is showing a much lower rate of acceleration despite having one of the largest rates. What this shows us is that the situations which create these relationships are very different across different localities.
New Active Cases and Deaths that Occurred Yesterday worldwide.