COVID-19 - UNR Asia and the Pacific Group - 20-08-02

Data from JHU, ca. 9:00 CET

UNR Asia and the Pacific Group is a Group with the following members:
Afghanistan - Bahrain - Bangladesh - Bhutan - Brunei - Burma - Cambodia - China - India - Indonesia - Iran - Iraq - Japan - Jordan - Kazakhstan - Korea, North - Korea, South - Kuwait - Kyrgyzstan - Laos - Lebanon - Malaysia - Maldives - Mongolia - Nepal - Oman - Pakistan - Philippines - Qatar - Saudi Arabia - Singapore - Sri Lanka - Syria - Taiwan - Tajikistan - Thailand - Timor-Leste - Turkmenistan - United Arab Emirates - Uzbekistan - Vietnam - West Bank and Gaza - Yemen

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 4072994 91.4 75425 1.89% 2.3%
Active cases 1006143 22.6 16973 1.72% 0.95%
Deaths 91785 2.1 1221 1.35% 1.38%
Recovered 297506666.8572311.96%2.29%
Deaths per infected 2.25%
Recovered per infected73.04%
Active per infected 24.7%
Deaths per recovered 3.09%
Projection:
Total Case Percentage
0.56%

Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate of the last day or average of the last five days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though.
Last days rate Last average rate
Time to double cases 37d 1h 30d 10h
Time to reach a million cases
Time to saturate the population>1yr 307d 2h

A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview.
Total: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 94 42
Active na 88 91
Deaths na 90 45
Recovered na 84 34
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

Diagrams

Members of Group: UNR Asia and the Pacific Group

Afghanistan - Bahrain - Bangladesh - Bhutan - Brunei - Burma - Cambodia - China - India - Indonesia - Iran - Iraq - Japan - Jordan - Kazakhstan - Korea, North - Korea, South - Kuwait - Kyrgyzstan - Laos - Lebanon - Malaysia - Maldives - Mongolia - Nepal - Oman - Pakistan - Philippines - Qatar - Saudi Arabia - Singapore - Sri Lanka - Syria - Taiwan - Tajikistan - Thailand - Timor-Leste - Turkmenistan - United Arab Emirates - Uzbekistan - Vietnam - West Bank and Gaza - Yemen

Data by Country


Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!
Click top row to sort:±±±±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredInfectedActiveDeathsRecoveredInfectedDeathsInfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
infected
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
China1401.8568798522984669810180.234.480.040.1304d 14hstable6.30.20.35.85.81:17.40.92
Iran83.29830943724145171902681020.870.711.020.6879d 14h68d 10h371.529.020.6321.96.41:15.60.87
Korea, South51.78114389808301132800.19-1.770.070.29359d 10hstable27.81.60.625.62.31:44.10.92
Japan126.0139116123551013257484.056.330.222.3117d 10h316d 14h31.09.80.820.43.91:25.40.66
Malaysia32.726899921012586640.120.130.160.09>1yr>1yr27.50.60.426.51.41:69.40.96
Qatar2.74711110731511771077790.220.310.830.18311d 23h84d 3h4044.2114.76.43923.10.21:625.00.97
Pakistan219.0172796992514659762485770.32-1.310.290.39214d 19h237d 20h127.711.52.7113.52.41:41.70.89
Singapore5.70452825587227469260.631.730.00.37110d 13h926.2103.00.5822.70.11:1666.70.89
Indonesia266.912111455372445236689751.780.121.172.3539d 4h59d 14h41.814.02.025.87.61:13.20.62
Bahrain1.543415362723147386660.8-2.560.840.9187d 7h82d 20h2691.4176.49.52505.40.41:263.20.93
Saudi Arabia34.2182788353583729172400810.58-2.630.691.04118d 20h100d 2h814.9104.78.5701.61.21:82.00.86
Thailand66.48433171175831420.12-1.280.00.15>1yr5.00.20.14.71.91:54.10.95
Philippines108.434103185355692059655574.42-8.540.9428.6416d 0h74d 3h95.232.81.960.53.11:31.80.64
India1360.05418036955793573813511862034.022.732.273.8217d 13h30d 19h132.642.62.887.23.21:31.20.66
Iraq39.128129151323974868918862.31.891.171.9630d 11h59d 15h330.182.812.4234.85.31:18.90.71
Lebanon6.825488530286217954.05.322.50.5917d 16h28d 1h71.644.40.926.33.51:29.00.37
Kuwait4.42679118241457592130.84-1.250.51.083d 8h140d 8h1536.4186.410.31339.60.81:129.90.87
United Arab Emirates9.89609996033351546150.48-0.440.230.51143d 15h301d 20h616.761.03.5552.20.61:156.20.9
Taiwan23.6044752774410.346.00.00.05203d 0h2.00.10.01.91.61:62.90.93
Vietnam96.20962124263737.025.0700.2210d 6h0.60.30.00.41.61:62.10.6
Brunei0.442141031380.000.00.031.90.00.731.22.21:46.10.98
Jordan10.64112131031110990.52-4.230.00.98133d 13h11.41.00.110.31.01:100.00.91
Sri Lanka21.80328232981125140.09-5.80.01.23stable12.91.40.111.50.41:227.30.89
Oman4.6657915917317421614210.32-1.730.930.96216d 8h74d 12h1696.9371.29.01316.70.71:144.90.78
Kazakhstan18.6679266229358793625111.46-0.010.01.4447d 18h496.4157.34.2334.91.31:78.70.67
Cambodia15.2892404401961.22-9.7106.2257d 2h1.60.30.01.30.0na0.82
Uzbekistan34.081253369352151158333.17-0.453.515.0322d 5h20d 2h74.327.40.446.50.91:105.30.62
Afghanistan32.2263671099161284255100.190.360.20.12>1yr339d 4h113.930.84.079.25.01:19.90.69
Bangladesh168.30424074610075331541368390.990.340.871.3670d 5h80d 5h143.059.91.981.32.31:43.50.57
Maldives0.375416415031826433.537.132.580.5220d 0h27d 4h1111.0401.04.8705.20.71:147.10.63
Mongolia3.3092936302300.14-0.9100.44>1yr8.91.90.07.00.0na0.79
Kyrgyzstan6.5243671980361409272741.65-3.351.013.5442d 8h69d 4h562.9123.221.6418.15.21:19.30.74
Bhutan0.742102130890.60.000.69115d 11h13.81.80.012.00.0na0.87
Nepal29.6120332567257146031.31.532.760.8853d 14h25d 10h68.719.20.249.30.41:256.40.72
Syria17.5809509442563.132.911.481.5222d 11h47d 7h4.62.90.31.517.21:5.80.32
West Bank and Gaza3.71229768238453902.39-0.881.07.7529d 9h69d 20h332.4184.42.3145.71.61:64.10.44
Burma68.673534962980.11-0.760.00.27>1yr0.50.10.00.42.01:49.80.84
Yemen28.2517343754978620.36-0.260.410.52191d 21h168d 21h6.11.31.83.157.71:1.70.5
Tajikistan9.28749511586162760.60.120.00.55116d 17h80.812.50.767.61.01:103.10.84
UNR Asia and the Pacific Group4454.65407299410061439178529750662.30.951.382.2930d 10h50d 16h91.422.62.166.83.11:32.40.73

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
infected
Deaths per infected ... days agoPossible
Total %
Country
absolute values% / ratio0d5d7d10d14d
China1401.8568798522984669810185.81:17.40.920.050.050.050.050.050.09China
Iran83.29830943724145171902681026.41:15.60.870.060.060.060.060.065.58Iran
Korea, South51.78114389808301132802.31:44.10.920.020.020.020.020.020.16Korea, South
Japan126.0139116123551013257483.91:25.40.660.030.030.030.040.040.22Japan
Malaysia32.726899921012586641.41:69.40.960.010.010.010.010.010.1Malaysia
Qatar2.74711110731511771077790.21:625.00.970.00.00.00.00.01.74Qatar
Pakistan219.0172796992514659762485772.41:41.70.890.020.020.020.020.020.74Pakistan
Singapore5.70452825587227469260.11:1666.70.890.00.00.00.00.00.13Singapore
Indonesia266.912111455372445236689757.61:13.20.620.050.050.050.050.060.53Indonesia
Bahrain1.543415362723147386660.41:263.20.930.00.00.00.00.02.57Bahrain
Saudi Arabia34.2182788353583729172400811.21:82.00.860.010.010.010.010.012.3Saudi Arabia
Thailand66.48433171175831421.91:54.10.950.020.020.020.020.020.02Thailand
Philippines108.434103185355692059655573.11:31.80.640.020.020.030.030.030.51Philippines
India1360.05418036955793573813511862033.21:31.20.660.020.020.030.030.030.76India
Iraq39.128129151323974868918865.31:18.90.710.040.040.040.050.053.36Iraq
Lebanon6.825488530286217953.51:29.00.370.010.010.020.020.020.25Lebanon
Kuwait4.42679118241457592130.81:129.90.870.010.010.010.010.012.79Kuwait
United Arab Emirates9.89609996033351546150.61:156.20.90.010.010.010.010.010.96United Arab Emirates
Taiwan23.6044752774411.61:62.90.930.010.010.020.020.020.01Taiwan
Vietnam96.20962124263731.61:62.10.60.010.010.010.010.020.0Vietnam
Brunei0.442141031382.21:46.10.980.020.020.020.020.020.18Brunei
Jordan10.64112131031110991.01:100.00.910.010.010.010.010.010.03Jordan
Sri Lanka21.80328232981125140.41:227.30.890.00.00.00.00.00.01Sri Lanka
Oman4.6657915917317421614210.71:144.90.780.010.010.010.010.012.44Oman
Kazakhstan18.6679266229358793625111.31:78.70.670.010.010.010.010.011.15Kazakhstan
Cambodia15.2892404401960.0na0.820.00.00.00.00.00.0Cambodia
Uzbekistan34.081253369352151158330.91:105.30.620.010.010.010.010.010.12Uzbekistan
Afghanistan32.2263671099161284255105.01:19.90.690.040.040.040.040.041.08Afghanistan
Bangladesh168.30424074610075331541368392.31:43.50.570.010.010.010.010.020.51Bangladesh
Maldives0.375416415031826430.71:147.10.630.00.010.010.010.011.3Maldives
Mongolia3.3092936302300.0na0.790.00.00.00.00.00.0Mongolia
Kyrgyzstan6.5243671980361409272745.21:19.30.740.040.040.040.050.055.84Kyrgyzstan
Bhutan0.742102130890.0na0.870.00.00.00.00.00.0Bhutan
Nepal29.6120332567257146030.41:256.40.720.00.00.00.00.00.05Nepal
Syria17.58095094425617.21:5.80.320.050.060.070.070.080.07Syria
West Bank and Gaza3.71229768238453901.61:64.10.440.010.010.010.010.010.61West Bank and Gaza
Burma68.673534962982.01:49.80.840.020.020.020.020.020.0Burma
Yemen28.25173437549786257.71:1.70.50.290.290.290.30.310.48Yemen
Tajikistan9.28749511586162761.01:103.10.840.010.010.010.010.010.18Tajikistan
UNR Asia and the Pacific Group4454.65407299410061439178529750663.11:32.40.730.020.020.030.030.030.56UNR Asia and the Pacific Group

Heinsberg study

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt