Right click to expand images. These use the same approach as the prior two posts. This only includes countries with more than 10,000 cases.
I’ve created a pair of graphs for each location. The difference between them is one graphs new cases and associated trend lines, the other graphs new deaths and associated trend lines.
Death lag about a week behind cases. If there is an increase in cases due to more testing, then there should be apparent differences between the 21 day incident slope graph and it’s associated trend line between the cases and deaths.
If the cases are a measure of true disease burden, the curves of these lines should be similar, but the one on the death graph should simply be offset some to the right in comparison.
Please pay attention to scales and recall that reporting from some countries may be influenced by local politics. China is omitted. The data set is from Johns Hopkins University.
I noticed after I had finished the graphs that the titles on them should have been written better. They do not mean new cases per day or new deaths per day. A better wording would be New Cases with 21-day and Derivative Trends or New Deaths with 21-day and Derivative Trends.
Global
Afghanistan
Algeria
Argentina
Armenia
Austria
Azerbaijan
Bahrain
Bangladesh
Belarus
Belgium
Bolivia
Brazil
Canada
Including graphs for the two most impacted provinces.
Ontario, Canada
Quebec, Canada
Colombia
Czechia
Denmark
Dominican Republic
Ecuador
Egypt
France
Germany
Ghana
Guatemala
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Japan
Kazakhstan
Korea, South
Kuwait
Mexico
Moldova
Netherlands
Nigeria
Oman
Pakistan
Panama
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russia
Saudi Arabia
Serbia
Singapore
South Africa
Spain
Sweden
Switzerland
Turkey
Ukraine
United Arab Emirates
United Kingdom
US