COVID-19 - UNR Asia and the Pacific Group - 20-06-03

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 1024494 23.0 30842 3.1% 2.95%
Active cases 403107 9.0 13733 3.53% 1.68%
Deaths 27294 0.6 588 2.2% 1.58%
Recovered 59409313.3165212.86%2.82%
Deaths per infected 2.66%
Recovered per infected57.99%
Active per infected 39.35%
Deaths per recovered 4.59%
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 22d 16h 23d 20h
Time to reach a million cases
Time to saturate the population274d 1h 288d 8h

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 56
Active na 94 68
Deaths na 97 52
Recovered na 96 53
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
China1401.856841601184638794040.013.760.00.0stable6.00.00.35.75.81:17.10.94
Iran83.2981606962747880121252061.841.990.681.3837d 22h102d 0h192.933.09.6150.36.41:15.60.78
Korea, South51.78111629857273104990.331.90.30.13212d 15h234d 17h22.51.70.520.32.61:38.50.9
Japan126.01168671260905147020.23-2.990.340.52299d 13h206d 10h13.41.00.711.76.21:16.20.87
Malaysia32.7267970132411565310.61-1.30.00.74114d 5h24.44.00.420.01.81:56.80.82
Qatar2.747621602457345375423.28-5.543.6612.1621d 11h19d 6h2262.6894.41.61366.50.11:833.30.6
Pakistan219.01780463498521688289234.683.394.274.0115d 3h16d 14h36.722.80.813.25.81:17.10.36
Singapore5.704364051279924235821.46-2.30.873.3947d 19h80d 1h638.3224.40.4413.50.11:1000.00.65
Indonesia266.9122823318129169884062.290.861.824.1330d 15h38d 9h10.66.80.63.120.21:5.00.3
Bahrain1.5431281553852074104.170.685.025.4916d 23h14d 3h830.4348.91.3480.10.31:370.40.58
Saudi Arabia34.2189118222444579681592.2-1.333.712.9231d 19h19d 0h266.565.61.7199.20.81:117.60.75
Thailand66.4843084585829680.05-4.040.350.14stable197d 21h4.60.10.14.51.91:51.30.96
Philippines108.434197481462197441533.53.150.51.7820d 4h137d 15h18.213.50.93.823.41:4.30.21
India1360.05421682410666560881040714.563.333.213.9715d 13h21d 22h15.97.80.47.75.81:17.10.48
Iraq39.1288168381725640956.846.684.942.9110d 11h14d 8h20.99.80.710.56.21:16.00.5
Lebanon6.8251256505277241.42.40.770.3950d 0h90d 10h18.47.40.410.63.71:26.80.58
Kuwait4.422935913379230157503.12-2.073.129.1322d 14h22d 13h664.2302.75.2356.31.51:68.50.54
United Arab Emirates9.893635916936270191531.851.210.681.8437d 18h101d 17h367.6171.22.7193.71.41:70.90.53
Taiwan23.604443874280.05-9.190.00.33stable1.90.00.01.81.61:61.00.97
Vietnam96.2093282603020.0-8.5701.340.30.00.00.30.0na0.92
Brunei0.442141121380.00.00.00.031.90.20.531.21.41:69.00.98
Jordan10.64175718795610.73-1.620.01.6195d 8h7.11.80.15.31.61:62.50.74
Sri Lanka21.8031749902118362.351.372.01.7729d 20h35d 0h8.04.10.13.81.31:75.80.48
Oman4.66513537106256728456.646.168.343.3610d 18h8d 15h290.2227.81.461.02.41:42.40.21
Kazakhstan18.6671206757794862403.972.973.563.2917d 18h19d 20h64.631.00.333.40.81:129.90.52
Cambodia15.289125201230.160.000.16>1yr0.80.00.00.80.0na0.98
Uzbekistan34.08138438131630142.082.921.431.2933d 17h48d 20h11.32.40.08.80.51:188.70.78
Afghanistan32.226172671545129415224.84.031.892.914d 18h37d 2h53.647.90.94.719.31:5.20.09
Bangladesh168.3045514042804746115905.184.114.054.3213d 17h17d 10h32.825.40.46.96.41:15.50.21
Maldives0.3751850119976443.09-2.327.3330.022d 19h9d 19h493.6319.91.9171.81.11:91.70.35
Mongolia3.3091851410440.670.7400.47103d 17h5.64.30.01.30.0na0.24
Kyrgyzstan6.52418715862012652.41.921.252.3229d 4h55d 19h28.79.00.319.41.61:63.30.68
Nepal29.6123002013927813.712.996.675.525d 9h10d 17h7.86.80.00.93.21:30.90.12
Syria17.5123646530.16-2.179.03.13>1yr8d 1h0.70.40.00.311.31:8.80.43
West Bank and Gaza3.74578233720.490.290.00.22141d 23h12.42.20.110.10.81:123.50.81
Burma68.672338261452.443.730.01.9628d 18h0.30.10.00.24.11:24.20.62
Yemen28.2541930795178.217.646.196.68d 18h11d 13h1.51.10.30.1558.85.6:10.04
Tajikistan9.28419117964823472.6-0.360.04.6526d 23h45.219.40.525.32.01:48.80.56
UNR Asia and the Pacific Group4454.651024494403107272945940932.951.681.582.8223d 20h44d 6h23.09.00.613.34.61:21.80.58

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
China1401.856841601184638794045.81:17.10.940.060.060.060.060.060.09China
Iran83.2981606962747880121252066.41:15.60.780.050.050.060.060.062.6Iran
Korea, South51.78111629857273104992.61:38.50.90.020.020.020.020.020.14Korea, South
Japan126.01168671260905147026.21:16.20.870.050.050.050.050.060.19Japan
Malaysia32.7267970132411565311.81:56.80.820.010.010.020.020.020.09Malaysia
Qatar2.747621602457345375420.11:833.30.60.00.00.00.00.00.44Qatar
Pakistan219.01780463498521688289235.81:17.10.360.020.030.030.030.040.21Pakistan
Singapore5.704364051279924235820.11:1000.00.650.00.00.00.00.00.11Singapore
Indonesia266.91228233181291698840620.21:5.00.30.060.070.070.070.080.17Indonesia
Bahrain1.5431281553852074100.31:370.40.580.00.00.00.00.00.35Bahrain
Saudi Arabia34.2189118222444579681590.81:117.60.750.010.010.010.010.010.46Saudi Arabia
Thailand66.4843084585829681.91:51.30.960.020.020.020.020.020.02Thailand
Philippines108.4341974814621974415323.41:4.30.210.050.060.060.070.070.24Philippines
India1360.05421682410666560881040715.81:17.10.480.030.030.040.040.050.12India
Iraq39.1288168381725640956.21:16.00.50.030.040.050.060.070.18Iraq
Lebanon6.8251256505277243.71:26.80.580.020.020.020.020.030.11Lebanon
Kuwait4.422935913379230157501.51:68.50.540.010.010.010.010.011.41Kuwait
United Arab Emirates9.893635916936270191531.41:70.90.530.010.010.010.010.010.74United Arab Emirates
Taiwan23.604443874281.61:61.00.970.020.020.020.020.020.01Taiwan
Vietnam96.2093282603020.0na0.920.00.00.00.00.00.0Vietnam
Brunei0.442141121381.41:69.00.980.010.010.010.010.010.12Brunei
Jordan10.64175718795611.61:62.50.740.010.010.010.010.010.02Jordan
Sri Lanka21.8031749902118361.31:75.80.480.010.010.010.010.010.01Sri Lanka
Oman4.66513537106256728452.41:42.40.210.00.010.010.010.010.39Oman
Kazakhstan18.6671206757794862400.81:129.90.520.00.00.010.010.010.07Kazakhstan
Cambodia15.289125201230.0na0.980.00.00.00.00.00.0Cambodia
Uzbekistan34.08138438131630140.51:188.70.780.00.00.00.010.010.01Uzbekistan
Afghanistan32.2261726715451294152219.31:5.20.090.020.020.020.030.030.25Afghanistan
Bangladesh168.3045514042804746115906.41:15.50.210.010.020.020.020.030.12Bangladesh
Maldives0.3751850119976441.11:91.70.350.00.00.00.010.010.5Maldives
Mongolia3.3091851410440.0na0.240.00.00.00.00.00.0Mongolia
Kyrgyzstan6.52418715862012651.61:63.30.680.010.010.010.010.020.08Kyrgyzstan
Nepal29.612300201392783.21:30.90.120.00.010.010.010.020.01Nepal
Syria17.51236465311.31:8.80.430.050.050.050.060.10.01Syria
West Bank and Gaza3.74578233720.81:123.50.810.010.010.010.010.010.02West Bank and Gaza
Burma68.672338261454.11:24.20.620.030.030.030.030.030.0Burma
Yemen28.254193079517558.85.6:10.040.230.310.340.410.480.09Yemen
Tajikistan9.28419117964823472.01:48.80.560.010.010.010.020.020.14Tajikistan
UNR Asia and the Pacific Group4454.651024494403107272945940934.61:21.80.580.030.030.030.030.040.17UNR 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