COVID-19 - UNR Asia and the Pacific Group - 20-08-06

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 4386609 98.5 85876 2.0% 1.87%
Active cases 1035927 23.3 13779 1.35% 0.66%
Deaths 97555 2.2 1365 1.42% 1.21%
Recovered 325312773.0707322.22%1.75%
Deaths per infected 2.22%
Recovered per infected74.16%
Active per infected 23.62%
Deaths per recovered 3.0%
Projection:
Total Case Percentage
0.59%

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 35d 1h 37d 7h
Time to reach a million cases
Time to saturate the population350d 3h >1yr

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 92 45
Active na 89 71
Deaths na 89 49
Recovered na 84 49
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
China1401.8568846021884680815920.14-0.160.040.13>1yrstable6.30.20.35.85.71:17.40.92
Iran83.29832011724678179762774630.860.670.950.6881d 6h73d 9h384.329.621.6333.16.51:15.40.87
Korea, South51.78114519673303135430.21-2.850.070.36327d 2hstable28.01.30.626.22.21:44.60.93
Japan126.0144167142751034288583.163.60.312.0322d 6h220d 18h35.111.30.822.93.61:27.90.65
Malaysia32.726903820012587130.12-1.60.00.13>1yr27.60.60.426.61.41:69.90.96
Qatar2.74711209230831781088310.21-0.450.460.18327d 4h151d 17h4080.1112.26.53961.40.21:625.00.97
Pakistan219.0172818631977060352560580.25-3.460.210.57272d 16h328d 20h128.79.02.8116.92.41:42.40.91
Singapore5.70454555649727480310.772.440.00.4490d 16h956.5113.90.5842.10.11:1666.70.88
Indonesia266.912118753375875521756451.550.380.981.744d 22h71d 2h44.514.12.128.37.31:13.70.64
Bahrain1.543428892788156399450.81-0.30.940.7185d 17h74d 4h2779.0180.710.12588.30.41:256.40.93
Saudi Arabia34.2182842263408230552470890.48-1.410.910.65144d 5h76d 20h830.699.68.9722.11.21:80.60.87
Thailand66.48433301245831480.111.170.00.06>1yr5.00.20.14.71.81:54.30.95
Philippines108.434119460504732150668374.09.150.810.3117d 16h85d 13h110.246.52.061.63.21:31.10.56
India1360.05420270746073844158513781052.970.961.733.0223d 15h40d 10h149.044.73.1101.33.01:33.10.68
Iraq39.1281406033441751611010252.10.851.181.9833d 7h59d 5h359.388.013.2258.25.11:19.60.72
Lebanon6.825567236287019743.723.652.221.3218d 22h31d 14h83.153.21.028.93.51:28.20.35
Kuwait4.42700457966469616100.76-1.00.650.891d 17h106d 7h1584.7180.210.61393.90.81:131.60.88
United Arab Emirates9.89618455752354557390.35-0.940.110.41195d 19h>1yr625.358.23.6563.60.61:156.20.9
Taiwan23.6044772974410.131.570.00.0>1yr2.00.10.01.91.61:62.90.92
Vietnam96.209750348103924.928.9928.690.4314d 10h2d 17h0.80.40.00.42.51:39.20.52
Brunei0.442141031380.000.00.031.90.00.731.22.21:46.10.98
Jordan10.6411232501111710.39-9.290.01.18176d 2h11.60.50.111.00.91:106.40.95
Sri Lanka21.80328392871125410.17-4.140.00.8>1yr13.01.30.111.70.41:232.60.9
Oman4.665807139311492709100.39-8.463.182.73177d 13h22d 2h1730.3199.610.51520.10.71:144.90.88
Kazakhstan18.66796922251841058706801.41-1.956.682.5349d 10h10d 17h519.2134.95.7378.61.51:66.70.73
Cambodia15.2892432902140.25-1.3800.61277d 14h1.60.20.01.40.0na0.88
Uzbekistan34.081283158849175192912.7-1.083.094.2225d 23h22d 19h83.126.00.556.60.91:109.90.68
Afghanistan32.2263689697581298258400.1-0.250.170.18>1yr>1yr114.530.34.080.25.01:19.90.7
Bangladesh168.30424965110252133061438240.80.230.850.886d 13h82d 0h148.360.92.085.52.31:43.50.58
Maldives0.375468019361927253.467.352.290.6820d 8h30d 15h1248.7516.55.1727.10.71:142.90.58
Mongolia3.3092933302600.0-10.9802.538.91.00.07.90.0na0.89
Kyrgyzstan6.5243865971131447300991.27-3.320.582.2555d 0h119d 17h592.6109.022.2461.44.81:20.80.78
Bhutan0.742108120961.16-1.5400.8960d 7h14.61.60.012.90.0na0.89
Nepal29.6121750629665153891.612.211.40.943d 12h49d 22h73.521.30.252.00.41:238.10.71
Syria17.5999640483115.083.742.244.5813d 23h31d 5h5.73.70.31.815.41:6.50.31
West Bank and Gaza3.71339863999269071.96-1.051.414.6935d 17h49d 8h362.1172.92.5186.71.31:75.20.52
Burma68.673574363080.23-1.620.00.53307d 6h0.50.10.00.41.91:51.30.86
Yemen28.2517683625088980.44-0.620.560.74158d 23h123d 18h6.31.31.83.256.61:1.80.51
Tajikistan9.28766511606264430.570.120.330.53122d 9h208d 6h82.612.50.769.41.01:104.20.84
UNR Asia and the Pacific Group4454.65438660910359279755532531271.870.661.211.7537d 7h57d 9h98.523.32.273.03.01:33.30.74

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
China1401.8568846021884680815925.71:17.40.920.050.050.050.050.050.09China
Iran83.29832011724678179762774636.51:15.40.870.060.060.060.060.065.83Iran
Korea, South51.78114519673303135432.21:44.60.930.020.020.020.020.020.16Korea, South
Japan126.0144167142751034288583.61:27.90.650.020.030.030.030.040.22Japan
Malaysia32.726903820012587131.41:69.90.960.010.010.010.010.010.1Malaysia
Qatar2.74711209230831781088310.21:625.00.970.00.00.00.00.01.75Qatar
Pakistan219.0172818631977060352560582.41:42.40.910.020.020.020.020.020.74Pakistan
Singapore5.70454555649727480310.11:1666.70.880.00.00.00.00.00.13Singapore
Indonesia266.912118753375875521756457.31:13.70.640.050.050.050.050.060.56Indonesia
Bahrain1.543428892788156399450.41:256.40.930.00.00.00.00.02.73Bahrain
Saudi Arabia34.2182842263408230552470891.21:80.60.870.010.010.010.010.012.41Saudi Arabia
Thailand66.48433301245831481.81:54.30.950.020.020.020.020.020.02Thailand
Philippines108.434119460504732150668373.21:31.10.560.020.020.020.030.030.54Philippines
India1360.05420270746073844158513781053.01:33.10.680.020.020.020.030.030.83India
Iraq39.1281406033441751611010255.11:19.60.720.040.040.040.040.053.56Iraq
Lebanon6.825567236287019743.51:28.20.350.010.010.010.020.020.28Lebanon
Kuwait4.42700457966469616100.81:131.60.880.010.010.010.010.012.87Kuwait
United Arab Emirates9.89618455752354557390.61:156.20.90.010.010.010.010.010.97United Arab Emirates
Taiwan23.6044772974411.61:62.90.920.010.010.010.010.020.01Taiwan
Vietnam96.209750348103922.51:39.20.520.010.020.020.020.020.0Vietnam
Brunei0.442141031382.21:46.10.980.020.020.020.020.020.18Brunei
Jordan10.6411232501111710.91:106.40.950.010.010.010.010.010.03Jordan
Sri Lanka21.80328392871125410.41:232.60.90.00.00.00.00.00.01Sri Lanka
Oman4.665807139311492709100.71:144.90.880.010.010.010.010.012.85Oman
Kazakhstan18.66796922251841058706801.51:66.70.730.010.010.010.010.011.53Kazakhstan
Cambodia15.2892432902140.0na0.880.00.00.00.00.00.0Cambodia
Uzbekistan34.081283158849175192910.91:109.90.680.010.010.010.010.010.14Uzbekistan
Afghanistan32.2263689697581298258405.01:19.90.70.040.040.040.040.041.09Afghanistan
Bangladesh168.30424965110252133061438242.31:43.50.580.010.010.010.010.020.53Bangladesh
Maldives0.375468019361927250.71:142.90.580.00.00.00.010.011.37Maldives
Mongolia3.3092933302600.0na0.890.00.00.00.00.00.0Mongolia
Kyrgyzstan6.5243865971131447300994.81:20.80.780.040.040.040.040.055.99Kyrgyzstan
Bhutan0.742108120960.0na0.890.00.00.00.00.00.0Bhutan
Nepal29.6121750629665153890.41:238.10.710.00.00.00.00.00.06Nepal
Syria17.59996404831115.41:6.50.310.050.060.060.070.080.07Syria
West Bank and Gaza3.71339863999269071.31:75.20.520.010.010.010.010.010.67West Bank and Gaza
Burma68.673574363081.91:51.30.860.020.020.020.020.020.0Burma
Yemen28.25176836250889856.61:1.80.510.290.290.290.30.30.49Yemen
Tajikistan9.28766511606264431.01:104.20.840.010.010.010.010.010.18Tajikistan
UNR Asia and the Pacific Group4454.65438660910359279755532531273.01:33.30.740.020.020.020.030.030.59UNR 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