COVID-19 - UNR Asia and the Pacific Group - 20-06-05

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 1085726 24.4 30195 2.86% 2.94%
Active cases 430373 9.7 12696 3.04% 2.48%
Deaths 28450 0.6 589 2.11% 1.6%
Recovered 62690314.1169102.77%2.33%
Deaths per infected 2.62%
Recovered per infected57.74%
Active per infected 39.64%
Deaths per recovered 4.54%
Projection:
Total Case Percentage
0.17%

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 24d 13h 23d 21h
Time to reach a million cases
Time to saturate the population294d 23h 286d 23h

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 104 47
Active na 87 60
Deaths na 98 51
Recovered na 96 61
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
China1401.856841771194638794200.01-0.130.00.01stable6.00.00.35.75.81:17.10.94
Iran83.2981671562928181341297411.992.970.691.4235d 3h100d 6h200.735.29.8155.86.31:15.90.78
Korea, South51.78111719915273105310.371.890.150.16186d 6h>1yr22.61.80.520.32.61:38.60.9
Japan126.01169581117916149250.25-4.240.290.61282d 4h240d 21h13.50.90.711.86.11:16.30.88
Malaysia32.7268266154011666101.133.380.00.6461d 22h25.34.70.420.21.81:57.10.8
Qatar2.747654952451149409352.85-1.83.485.4924d 15h20d 5h2384.0892.21.81490.00.11:833.30.62
Pakistan219.01789249562131838311985.134.573.623.613d 20h19d 12h40.725.70.814.25.91:17.00.35
Singapore5.704371831295024242091.29-0.240.871.9654d 6h80d 1h651.9227.00.4424.50.11:1000.00.65
Indonesia266.9122952118308177094432.20.731.314.0231d 19h53d 8h11.16.90.73.518.71:5.30.32
Bahrain1.5431383552282285853.953.42.053.0117d 21h34d 2h896.5338.81.4556.30.31:384.60.62
Saudi Arabia34.2189574824490642706162.351.133.992.0229d 20h17d 17h279.871.61.9206.40.91:109.90.74
Thailand66.4843102735829710.144.860.350.03>1yr197d 21h4.70.10.14.51.91:51.30.96
Philippines108.434206261530998743302.672.780.561.6826d 7h124d 10h19.014.10.94.022.81:4.40.21
India1360.05423618411630266491132334.383.713.323.3916d 3h21d 5h17.48.60.58.35.91:17.00.48
Iraq39.1289846498828545738.886.645.86.718d 3h12d 7h25.212.70.711.76.21:16.10.46
Lebanon6.8251312516287681.472.650.740.5347d 9h93d 22h19.27.60.411.33.61:27.40.59
Kuwait4.423064412123244182772.53-4.172.188.7327d 17h32d 4h693.3274.35.5413.51.31:74.60.6
United Arab Emirates9.893764217031274203371.720.970.671.7740d 12h103d 5h380.6172.22.8205.61.41:74.10.54
Taiwan23.604443774290.05-7.220.00.24stable1.90.00.01.81.61:61.30.97
Vietnam96.2093282103070.0-11.2401.610.30.00.00.30.0na0.94
Brunei0.442141121380.00.00.00.031.90.20.531.21.41:69.00.98
Jordan10.64178420495711.19-1.770.01.6458d 12h7.41.90.15.41.61:63.30.73
Sri Lanka21.8031801932118581.992.92.00.9335d 5h35d 0h8.34.30.13.91.31:78.10.48
Oman4.66515086115637234515.74.456.725.4612d 12h10d 15h323.4247.91.574.02.11:47.80.23
Kazakhstan18.6671231253575269032.560.065.454.1227d 10h13d 1h66.028.70.337.00.81:133.30.56
Cambodia15.289125201230.00.000.00.80.00.00.80.0na0.98
Uzbekistan34.08140077441632472.041.691.331.7134d 9h52d 7h11.82.20.09.50.51:204.10.81
Afghanistan32.226189691689830917624.523.513.193.6415d 15h22d 2h58.952.41.05.517.51:5.70.09
Bangladesh168.3046039146776811128045.074.03.764.4914d 0h18d 18h35.927.80.57.66.31:15.80.21
Maldives0.3751883115977171.22-1.477.337.7757d 8h9d 19h502.4309.21.9191.31.01:102.00.38
Mongolia3.3091911210701.32-1.9509.5553d 0h5.83.70.02.10.0na0.37
Kyrgyzstan6.52419365742213402.070.994.782.0133d 20h14d 20h29.78.80.320.51.61:61.00.69
Nepal29.61291225681133313.1511.864.725.935d 14h15d 0h9.88.70.01.13.31:30.30.11
Syria17.5124656530.33-1.694.02.94212d 14h17d 16h0.70.40.00.311.31:8.80.43
West Bank and Gaza3.74648433770.712.880.00.2798d 12h12.52.30.110.20.81:125.00.81
Burma68.672367961511.050.520.01.4266d 6h0.30.10.00.24.01:25.20.64
Yemen28.25469335111237.797.935.244.19d 5h13d 13h1.71.20.40.1482.64.8:10.05
Tajikistan9.28437018314824912.15-0.40.433.7132d 15h163d 5h47.119.70.526.81.91:51.80.57
UNR Asia and the Pacific Group4454.651085726430373284506269032.942.481.62.3323d 21h43d 14h24.49.70.614.14.51:22.00.58

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
China1401.856841771194638794205.81:17.10.940.060.060.060.060.060.09China
Iran83.2981671562928181341297416.31:15.90.780.050.050.050.060.062.64Iran
Korea, South51.78111719915273105312.61:38.60.90.020.020.020.020.020.14Korea, South
Japan126.01169581117916149256.11:16.30.880.050.050.050.060.060.2Japan
Malaysia32.7268266154011666101.81:57.10.80.010.010.010.020.020.1Malaysia
Qatar2.747654952451149409350.11:833.30.620.00.00.00.00.00.48Qatar
Pakistan219.01789249562131838311985.91:17.00.350.020.030.030.030.040.23Pakistan
Singapore5.704371831295024242090.11:1000.00.650.00.00.00.00.00.11Singapore
Indonesia266.91229521183081770944318.71:5.30.320.060.070.070.070.080.18Indonesia
Bahrain1.5431383552282285850.31:384.60.620.00.00.00.00.00.39Bahrain
Saudi Arabia34.2189574824490642706160.91:109.90.740.010.010.010.010.010.51Saudi Arabia
Thailand66.4843102735829711.91:51.30.960.020.020.020.020.020.02Thailand
Philippines108.4342062615309987433022.81:4.40.210.050.050.060.070.070.25Philippines
India1360.05423618411630266491132335.91:17.00.480.030.030.040.040.050.13India
Iraq39.1289846498828545736.21:16.10.460.030.040.050.060.070.2Iraq
Lebanon6.8251312516287683.61:27.40.590.020.020.020.020.030.11Lebanon
Kuwait4.423064412123244182771.31:74.60.60.010.010.010.010.011.49Kuwait
United Arab Emirates9.893764217031274203371.41:74.10.540.010.010.010.010.010.75United Arab Emirates
Taiwan23.604443774291.61:61.30.970.020.020.020.020.020.01Taiwan
Vietnam96.2093282103070.0na0.940.00.00.00.00.00.0Vietnam
Brunei0.442141121381.41:69.00.980.010.010.010.010.010.12Brunei
Jordan10.64178420495711.61:63.30.730.010.010.010.010.010.02Jordan
Sri Lanka21.8031801932118581.31:78.10.480.010.010.010.010.010.01Sri Lanka
Oman4.66515086115637234512.11:47.80.230.00.010.010.010.010.42Oman
Kazakhstan18.6671231253575269030.81:133.30.560.00.00.010.010.010.08Kazakhstan
Cambodia15.289125201230.0na0.980.00.00.00.00.00.0Cambodia
Uzbekistan34.08140077441632470.51:204.10.810.00.00.00.00.010.01Uzbekistan
Afghanistan32.2261896916898309176217.51:5.70.090.020.020.020.020.030.26Afghanistan
Bangladesh168.3046039146776811128046.31:15.80.210.010.020.020.020.030.13Bangladesh
Maldives0.3751883115977171.01:102.00.380.00.00.00.00.010.5Maldives
Mongolia3.3091911210700.0na0.370.00.00.00.00.00.0Mongolia
Kyrgyzstan6.52419365742213401.61:61.00.690.010.010.010.010.020.09Kyrgyzstan
Nepal29.6129122568113333.31:30.30.110.00.010.010.010.020.01Nepal
Syria17.51246565311.31:8.80.430.050.050.050.050.090.01Syria
West Bank and Gaza3.74648433770.81:125.00.810.010.010.010.010.010.02West Bank and Gaza
Burma68.672367961514.01:25.20.640.030.030.030.030.030.0Burma
Yemen28.2546933511123482.64.8:10.050.240.310.360.430.520.11Yemen
Tajikistan9.28437018314824911.91:51.80.570.010.010.010.010.020.14Tajikistan
UNR Asia and the Pacific Group4454.651085726430373284506269034.51:22.00.580.030.030.030.030.040.17UNR 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