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Global Covid Cases


Text for a selected block appears below the table, graphics appear in a new page. Graphics are cluttered due to using only 10 colours, intent was to see if belonging to a bloc led to a uniform repsonse. The graphs show the answer. Not.

There are four blocs for Africa, due to the number of countries. These are Africa North of the Equator, South of the Equator, West of 15 degrees East, and East of 15. For these blocs, the data plotting start date for deaths per cases rate has been offset, as some countries often showed very high case-fatality rate in the early days of the COVID-19 pandemic. The latitudes and longitudes for the countries in these blocs are from the Johns Hopkins University data, and for each country are the coordinates of the centroid; thus South of the Equator means the centroid for the country is located South of 0, not that the entire country is South of 0. West of 15 degrees East roughly contains the entire northern bulge of Africa, most of the countries West of Prague or Chad.

In the early days, the number of deaths can be equal to the number of cases for some countries so death rate looks like 100%. This is simply a function of data gathering and testing getting up to speed. Eventually the rate of death per confirmed case is trending towards 2 to 4%. The huge weight of the USA (25 percent of the total) on the numbers affects the global case-fatality weight.

Average Daily Cases are computed using a moving 7 day average, to smooth out reporting latency. JHU reports cumulative cases, so to increase plotting speed, I pre-compute a table of daily delta cases (new cases) and then sum those for the major jurisdiction (example Canada, not each province or the UK including territories) and then compute the moving average. We present the Absolute (daily total) and the Per 10K (divided 10K population) metric.

BlocCasesDeathsDeaths per Case (percent)7-Day Average Cases
 TextPlotTextPlotTextPlotAbsolutePer 10 K
G7 text graph text graph text graph graph graph
G20 text graph text graph text graph graph graph
EU text graph text graph text graph graph graph
EEA text graph text graph text graph graph graph
OECD text graph text graph text graph graph graph
OPEC text graph text graph text graph graph graph
ASEAN text graph text graph text graph graph graph
MERCUSOR text graph text graph text graph graph graph
NATO text graph text graph text graph graph graph
Africa text graph text graph text graph graph graph
North America text graph text graph text graph graph graph
South America text graph text graph text graph graph graph
East Asia text graph text graph text graph graph graph
South Asia ARC text graph text graph text graph graph graph
Middle East text graph text graph text graph graph graph
The Stans text graph text graph text graph graph graph
Nordic text graph text graph text graph graph graph
Baltic text graph text graph text graph graph graph
Western Europe text graph text graph text graph graph graph
Eastern Europe text graph text graph text graph graph graph
Top Ten text graph text graph text graph graph graph
Top Twenty text graph text graph text graph graph graph
Africa North text graph text graph text graph graph graph
Africa South text graph text graph text graph graph graph
Africa 15 West text graph text graph text graph graph graph
Africa 15 East text graph text graph text graph graph graph
Pacific Islands text graph text graph text graph graph graph
Caucasus text graph text graph text graph graph graph

Data taken as a csv download from Johns Hopkins University github. Data contains confirmed cases, deaths and population for each country. I added the multinational groupings such as OPEC or G7 membership. Data sort is based on the Per10K ( per capita * 10,000 population) statistics, desdending.

I chose 10K, as anybody who has been to a sports arena knows what 10,000 people looks like. It is half a Bell Centre crowd. It is an easily visualized number of people - a small town, a crowd at a game.



Confirmed Cases: Data for OECD (Organisation for Economic Co-operation and Development)


DateCountry/RegionTotal CasesPer10K
2022-05-31 Iceland188,2915517.6850
2022-05-31 Denmark3,183,5255496.2248
2022-05-31 Slovenia1,025,0304930.5605
2022-05-31 Netherlands8,271,2704827.1557
2022-05-31 Israel4,138,5154781.3476
2022-05-31 Austria4,288,1534761.2287
2022-05-31 Slovakia2,542,5644657.0151
2022-05-31 Portugal4,683,0184592.6768
2022-05-31 France29,711,8704551.9031
2022-05-31 Latvia828,6144393.0290
2022-05-31 Estonia576,8704348.6848
2022-05-31 Switzerland3,674,9864246.2718
2022-05-31 Lithuania1,062,5243903.0508
2022-05-31 Luxembourg244,1823900.8205
2022-05-31 Czechia3,920,2993660.7579
2022-05-31 Belgium4,152,5583582.9988
2022-05-31 South Korea18,119,4153534.1728
2022-05-31 Greece3,453,2293313.0677
2022-05-31 United Kingdom22,486,9973312.4644
2022-05-31 Ireland1,561,6323162.6094
2022-05-31 Germany26,360,9533146.3012
2022-05-31 Italy17,421,4102881.3899
2022-05-31 Australia7,312,4082872.1501
2022-05-31 Norway1,433,6412644.4881
2022-05-31 Spain12,326,2642636.3643
2022-05-31 United States of America84,210,8082555.9765
2022-05-31 Sweden2,507,9482483.2963
2022-05-31 New Zealand1,170,8152427.9519
2022-05-31 Hungary1,917,7771985.2045
2022-05-31 Finland1,092,1931971.2120
2022-05-31 Chile3,702,9411937.0687
2022-05-31 Turkey15,072,7471787.1607
2022-05-31 Poland6,007,5841587.3508
2022-05-31 Canada3,884,7921026.2105
2022-05-31 Japan8,838,747698.8452
2022-05-31 Mexico5,775,977447.9837

28 days earlier

DateCountry/RegionTotal CasesPer10K
2022-05-03 Denmark3,165,7285465.4991
2022-05-03 Iceland185,7955444.5421
2022-05-03 Slovenia1,011,2534864.2909
2022-05-03 Netherlands8,234,0774805.4497
2022-05-03 Israel4,082,9544717.1563
2022-05-03 Slovakia2,528,2164630.7350
2022-05-03 Austria4,154,2444612.5466
2022-05-03 France28,948,4974434.9532
2022-05-03 Latvia823,1104363.8486
2022-05-03 Estonia572,4344315.2444
2022-05-03 Switzerland3,636,2264201.4864
2022-05-03 Lithuania1,058,7793889.2940
2022-05-03 Luxembourg239,3353823.3894
2022-05-03 Portugal3,878,9233804.0938
2022-05-03 Czechia3,909,1673650.3628
2022-05-03 Belgium4,071,2793512.8679
2022-05-03 South Korea17,395,7913393.0307
2022-05-03 United Kingdom22,249,6613277.5034
2022-05-03 Greece3,335,5503200.1651
2022-05-03 Ireland1,519,2963076.8707
2022-05-03 Germany25,033,9702987.9197
2022-05-03 Italy16,586,2682743.2627
2022-05-03 Norway1,426,7982631.8655
2022-05-03 Spain11,896,1522544.3711
2022-05-03 Sweden2,500,9172476.3344
2022-05-03 United States of America81,506,0752473.8821
2022-05-03 Australia6,072,5642385.1671
2022-05-03 New Zealand961,2621993.3960
2022-05-03 Hungary1,903,2001970.1150
2022-05-03 Chile3,563,6501864.2033
2022-05-03 Finland1,023,0131846.3546
2022-05-03 Turkey15,036,1101782.8167
2022-05-03 Poland5,997,8251584.7723
2022-05-03 Canada3,776,551997.6175
2022-05-03 Japan7,947,818628.4030
2022-05-03 Mexico5,739,680445.1685


Bloc Member Population


Country / RegionPopulation
Australia 25,459,700
Austria 9,006,400
Belgium 11,589,616
Canada 37,855,702
Chile 19,116,209
Czechia 10,708,982
Denmark 5,792,203
Estonia 1,326,539
Finland 5,540,718
France 65,273,512
Germany 83,783,945
Greece 10,423,056
Hungary 9,660,350
Iceland 341,250
Ireland 4,937,796
Israel 8,655,541
Italy 60,461,828
Japan 126,476,458
South Korea 51,269,183
Latvia 1,886,202
Lithuania 2,722,291
Luxembourg 625,976
Mexico 128,932,753
Netherlands 17,134,873
New Zealand 4,822,233
Norway 5,421,242
Poland 37,846,605
Portugal 10,196,707
Slovakia 5,459,643
Slovenia 2,078,932
Spain 46,754,783
Sweden 10,099,270
Switzerland 8,654,618
Turkey 84,339,067
United Kingdom 67,886,004
United States of America 329,466,283


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