COVID-19 - UNR Asia and the Pacific Group - 20-10-09

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 10896496 244.6 100960 0.94% 0.95%
Active cases 1386131 31.1 -4890 -0.35% -0.15%
Deaths 197653 4.4 1542 0.79% 0.67%
Recovered 9312712209.11043081.13%0.91%
Deaths per infected 1.81%
Recovered per infected85.47%
Active per infected 12.72%
Deaths per recovered 2.12%
Projection:
Total Case Percentage
1.2%

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 74d 11h 73d 9h
Time to reach a million cases
Time to saturate the population>1yr >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 96 72
Active na 99 122
Deaths na 91 51
Recovered na 85 60
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
China1401.856907513714739856410.030.970.00.02stable6.50.00.36.15.51:18.10.94
Iran83.29849237862901280984013790.862.170.680.4781d 1h101d 23h591.175.533.7481.97.01:14.30.82
Korea, South51.781245481494430226240.32-4.40.280.62219d 19h245d 3h47.42.90.843.71.91:52.60.92
Japan126.018826765041623801400.580.290.240.46119d 14h293d 2h70.05.21.363.62.01:49.30.91
Malaysia32.726147223863152107073.5313.891.290.4619d 23h53d 22h45.011.80.532.71.41:70.40.73
Qatar2.74712760028222191245590.170.30.190.14>1yr>1yr4644.6102.78.04533.90.21:555.60.98
Pakistan219.017318266864665583030620.23-1.740.120.25300d 10h>1yr145.33.93.0138.42.21:46.30.95
Singapore5.7045785915727576750.02-5.750.00.03stable1014.42.80.51011.20.11:2000.01.0
Indonesia266.91232465865314116772476671.360.320.761.3351d 10h91d 17h121.624.54.492.84.71:21.20.76
Bahrain1.543748604183271704060.6-0.520.310.57116d 7h226d 16h4850.6271.017.64562.00.41:263.20.94
Saudi Arabia34.218338539926149963242820.13-1.30.40.14>1yr175d 19h989.427.114.6947.71.51:64.90.96
Thailand66.48436341305934450.24-1.050.00.3284d 10h5.50.20.15.21.71:58.50.95
Philippines108.4343347705331161522753070.753.381.00.0992d 18h69d 19h308.749.25.7253.92.21:44.80.82
India1360.054697942388318510741659888221.05-0.890.731.1266d 6h95d 3h513.264.97.9440.31.81:55.90.86
Iraq39.1283977805994897353280970.96-0.380.61.0472d 5h116d 8h1016.6153.224.9838.53.01:33.70.82
Lebanon6.8255117028313450224072.842.551.581.9324d 17h44d 5h749.7414.86.6328.32.01:49.80.44
Kuwait4.4211007674036491020240.560.340.570.46123d 7h121d 17h2490.4167.514.72308.20.61:156.20.93
United Arab Emirates9.891040048659442949031.03-2.510.561.1967d 12h124d 12h1051.687.54.5959.50.51:212.80.91
Taiwan23.6045273274880.383.00.00.12180d 20h2.20.10.02.11.41:69.90.93
Vietnam96.2091105463510240.160.50.00.06>1yr1.10.00.01.13.41:29.20.93
Brunei0.442146031430.000.00.1433.00.00.732.42.11:47.60.98
Jordan10.641227631669116659067.828.87.421.989d 5h9d 16h213.9156.91.655.52.81:35.60.26
Sri Lanka21.803452312141332966.1282.060.00.1211d 16h20.75.60.115.10.41:256.40.73
Oman4.665104129113891009917310.562.670.650.32124d 9h107d 10h2232.2244.121.61966.51.11:90.90.88
Kazakhstan18.667108663300717461039100.08-1.120.240.09stable285d 0h582.116.19.4556.61.71:59.50.96
Cambodia15.289283602770.3611.6700.07194d 3h1.90.00.01.80.0na0.98
Uzbekistan34.081603422623498572210.58-1.050.660.56119d 3h105d 13h177.17.71.5167.90.91:114.90.95
Afghanistan32.2263969351631472330580.180.240.110.13>1yr>1yr123.216.04.6102.64.51:22.50.83
Bangladesh168.3043758708048154772899120.39-0.210.420.47179d 16h167d 2h223.347.83.3172.31.91:52.90.77
Maldives0.3751080811203496540.52-0.190.00.48132d 23h2883.7298.89.12575.80.31:285.70.89
Mongolia3.309315503100.060.3600.07stable9.50.20.09.40.0na0.98
Kyrgyzstan6.5244861734431077440970.52.40.130.25139d 22h>1yr745.352.816.5676.02.41:41.00.91
Bhutan0.7423062402820.53-4.0201.49130d 13h41.33.20.038.00.0na0.92
Nepal29.6110067627053600730233.013.851.982.1823d 8h35d 7h340.091.42.0246.60.81:122.00.73
Syria17.54616316321812351.120.870.960.9762d 5h72d 15h26.418.11.27.117.61:5.70.27
West Bank and Gaza3.7436646375367369221.02-0.481.71.0768d 2h41d 0h1180.1172.39.9997.91.01:101.00.85
Burma68.67239061660256667386.095.025.414.1711d 17h13d 3h34.824.20.89.88.41:11.90.28
Yemen28.25205112959313290.1-0.30.070.14>1yrstable7.30.52.14.744.61:2.20.65
Tajikistan9.281013710997989590.4-0.050.00.37172d 4h109.211.80.996.50.91:113.60.88
UNR Asia and the Pacific Group4454.6510896496138613119765393127120.95-0.150.670.9173d 9h103d 17h244.631.14.4209.12.11:47.20.85

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
China1401.856907513714739856415.51:18.10.940.050.050.050.050.050.09China
Iran83.29849237862901280984013797.01:14.30.820.060.060.060.060.069.12Iran
Korea, South51.781245481494430226241.91:52.60.920.020.020.020.020.020.22Korea, South
Japan126.018826765041623801402.01:49.30.910.020.020.020.020.020.35Japan
Malaysia32.726147223863152107071.41:70.40.730.010.010.010.010.010.13Malaysia
Qatar2.74712760028222191245590.21:555.60.980.00.00.00.00.02.15Qatar
Pakistan219.017318266864665583030622.21:46.30.950.020.020.020.020.020.81Pakistan
Singapore5.7045785915727576750.11:2000.01.00.00.00.00.00.00.13Singapore
Indonesia266.91232465865314116772476674.71:21.20.760.040.040.040.040.041.18Indonesia
Bahrain1.543748604183271704060.41:263.20.940.00.00.00.00.04.75Bahrain
Saudi Arabia34.218338539926149963242821.51:64.90.960.010.010.010.010.023.95Saudi Arabia
Thailand66.48436341305934451.71:58.50.950.020.020.020.020.020.02Thailand
Philippines108.4343347705331161522753072.21:44.80.820.020.020.020.020.021.53Philippines
India1360.054697942388318510741659888221.81:55.90.860.020.020.020.020.022.13India
Iraq39.1283977805994897353280973.01:33.70.820.020.030.030.030.036.72Iraq
Lebanon6.8255117028313450224072.01:49.80.440.010.010.010.010.011.78Lebanon
Kuwait4.4211007674036491020240.61:156.20.930.010.010.010.010.013.97Kuwait
United Arab Emirates9.891040048659442949030.51:212.80.910.00.00.00.00.01.21United Arab Emirates
Taiwan23.6045273274881.41:69.90.930.010.010.010.010.010.01Taiwan
Vietnam96.2091105463510243.41:29.20.930.030.030.030.030.030.01Vietnam
Brunei0.442146031432.11:47.60.980.020.020.020.020.020.18Brunei
Jordan10.641227631669116659062.81:35.60.260.010.010.010.010.020.42Jordan
Sri Lanka21.803452312141332960.41:256.40.730.00.00.00.00.00.02Sri Lanka
Oman4.665104129113891009917311.11:90.90.880.010.010.010.010.015.85Oman
Kazakhstan18.667108663300717461039101.71:59.50.960.020.020.020.020.022.53Kazakhstan
Cambodia15.289283602770.0na0.980.00.00.00.00.00.0Cambodia
Uzbekistan34.081603422623498572210.91:114.90.950.010.010.010.010.010.39Uzbekistan
Afghanistan32.2263969351631472330584.51:22.50.830.040.040.040.040.041.23Afghanistan
Bangladesh168.3043758708048154772899121.91:52.90.770.010.010.010.020.020.88Bangladesh
Maldives0.3751080811203496540.31:285.70.890.00.00.00.00.02.45Maldives
Mongolia3.309315503100.0na0.980.00.00.00.00.00.0Mongolia
Kyrgyzstan6.5244861734431077440972.41:41.00.910.020.020.020.020.024.46Kyrgyzstan
Bhutan0.7423062402820.0na0.920.00.00.00.00.00.0Bhutan
Nepal29.6110067627053600730230.81:122.00.730.010.010.010.010.010.55Nepal
Syria17.546163163218123517.61:5.70.270.050.050.050.050.050.34Syria
West Bank and Gaza3.7436646375367369221.01:101.00.850.010.010.010.010.012.68West Bank and Gaza
Burma68.67239061660256667388.41:11.90.280.020.030.030.040.060.22Burma
Yemen28.252051129593132944.61:2.20.650.290.290.290.290.290.57Yemen
Tajikistan9.281013710997989590.91:113.60.880.010.010.010.010.010.23Tajikistan
UNR Asia and the Pacific Group4454.6510896496138613119765393127122.11:47.20.850.020.020.020.020.021.2UNR 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