COVID-19 - WHO Western Pacific Region - 20-08-06

Data from JHU, ca. 9:00 CET

WHO Western Pacific Region is a Group with the following members:
Australia - Brunei - Cambodia - China - Fiji - Japan - Korea, South - Laos - Malaysia - Mongolia - New Zealand - Papua New Guinea - Philippines - Singapore - Taiwan - Vietnam

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 354154 18.5 5855 1.68% 1.98%
Active cases 83771 4.4 3699 4.62% 6.25%
Deaths 8631 0.5 50 0.58% 0.39%
Recovered 26175213.721060.81%0.49%
Deaths per infected 2.44%
Recovered per infected73.91%
Active per infected 23.65%
Deaths per recovered 3.3%
Projection:
Total Case Percentage
0.12%

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 41d 13h 35d 7h
Time to reach a million cases 62d 6h52d 21h
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 151 41
Active na 140 17
Deaths na 139 90
Recovered na 136 110
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: WHO Western Pacific Region

Australia - Brunei - Cambodia - China - Fiji - Japan - Korea, South - Laos - Malaysia - Mongolia - New Zealand - Papua New Guinea - Philippines - Singapore - Taiwan - Vietnam

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
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
Australia25.653202728887266111192.543.124.251.4127d 16h16d 15h79.034.61.043.32.41:41.80.55
Singapore5.70454555649727480310.772.440.00.4490d 16h956.5113.90.5842.10.11:1666.70.88
Philippines108.434119460504732150668374.09.150.810.3117d 16h85d 13h110.246.52.061.63.21:31.10.56
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
New Zealand4.9721569232215240.05-1.120.00.08stable31.60.50.430.71.41:69.40.97
Cambodia15.2892432902140.25-1.3800.61277d 14h1.60.20.01.40.0na0.88
Mongolia3.3092933302600.0-10.9802.538.91.00.07.90.0na0.89
Papua New Guinea8.9416310735313.0515.420.05.885d 15h1.81.20.00.65.71:17.70.33
WHO Western Pacific Region1912.853541548377186312617521.986.250.390.4935d 7h179d 9h18.54.40.513.73.31:30.30.74

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
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
Australia25.653202728887266111192.41:41.80.550.010.010.020.020.020.28Australia
Singapore5.70454555649727480310.11:1666.70.880.00.00.00.00.00.13Singapore
Philippines108.434119460504732150668373.21:31.10.560.020.020.020.030.030.54Philippines
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
New Zealand4.9721569232215241.41:69.40.970.010.010.010.010.010.12New Zealand
Cambodia15.2892432902140.0na0.880.00.00.00.00.00.0Cambodia
Mongolia3.3092933302600.0na0.890.00.00.00.00.00.0Mongolia
Papua New Guinea8.941631073535.71:17.70.330.020.030.030.050.090.01Papua New Guinea
WHO Western Pacific Region1912.853541548377186312617523.31:30.30.740.020.030.030.030.030.12WHO Western Pacific Region

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