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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.



Deaths : Data for MidEast (Middle East)


DateCountry/RegionTotal CasesPer10K
2022-05-31 Iran141,31516.8246
2022-05-31 Lebanon10,42915.2796
2022-05-31 Jordan14,06613.7860
2022-05-31 Israel10,85212.5376
2022-05-31 Turkey98,96511.7342
2022-05-31 West Bank and Gaza5,66011.0950
2022-05-31 Cyprus1,0598.7712
2022-05-31 Bahrain1,4888.7448
2022-05-31 Oman4,2608.3421
2022-05-31 Iraq25,2196.2699
2022-05-31 Kuwait2,5555.9828
2022-05-31 Saudi Arabia9,1482.6277
2022-05-31 Egypt24,7182.4154
2022-05-31 Qatar6772.3498
2022-05-31 United Arab Emirates2,3052.3305
2022-05-31 Syria3,1501.7999

28 days earlier

DateCountry/RegionTotal CasesPer10K
2022-05-03 Iran141,13116.8027
2022-05-03 Lebanon10,39215.2254
2022-05-03 Jordan14,06413.7840
2022-05-03 Israel10,69912.3609
2022-05-03 Turkey98,80111.7147
2022-05-03 West Bank and Gaza5,65711.0891
2022-05-03 Bahrain1,4768.6743
2022-05-03 Cyprus1,0208.4482
2022-05-03 Oman4,2588.3382
2022-05-03 Iraq25,2126.2681
2022-05-03 Kuwait2,5555.9828
2022-05-03 Saudi Arabia9,0932.6119
2022-05-03 Egypt24,6132.4052
2022-05-03 Qatar6772.3498
2022-05-03 United Arab Emirates2,3022.3275
2022-05-03 Syria3,1501.7999


Bloc Member Population


Country / RegionPopulation
Bahrain 1,701,583
Cyprus 1,207,361
West Bank and Gaza 5,101,416
Iran 83,992,953
Iraq 40,222,503
Israel 8,655,541
Jordan 10,203,140
Kuwait 4,270,563
Lebanon 6,825,442
Oman 5,106,622
Qatar 2,881,060
Saudi Arabia 34,813,867
Syria 17,500,657
United Arab Emirates 9,890,400
Turkey 84,339,067
Egypt 102,334,403


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