COVID-19 - WHO Western Pacific Region - 20-10-09

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 643011 33.6 3980 0.62% 0.56%
Active cases 67206 3.5 2125 3.27% 3.13%
Deaths 14099 0.7 97 0.69% 0.48%
Recovered 56170629.417580.31%0.15%
Deaths per infected 2.19%
Recovered per infected87.36%
Active per infected 10.45%
Deaths per recovered 2.51%
Total Case Percentage

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 111d 15h 123d 5h
Time to reach a million cases 71d 2h78d 12h
Time to saturate the populationstable stable

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 146 96
Active na 143 41
Deaths na 142 69
Recovered na 141 128
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!


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
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
Korea, South51.781245481494430226240.32- 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
Philippines108.4343347705331161522753070.753.381.00.0992d 18h69d 19h308.749.25.7253.92.21:44.80.82
Taiwan23.6045273274880.383.00.00.12180d 20h2.
New Zealand4.9721870442518010.160.820.00.11>1yr37.60.90.536.21.41:71.90.96
Cambodia15.289283602770.3611.6700.07194d 3h1.
Papua New Guinea8.945491075320.3311.90.00.19208d 15h6.
WHO Western Pacific Region1912.8564301167206140995617060.563.130.480.15123d 5h145d 2h33.63.50.729.42.51:39.80.87

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
Deaths per infected ... days agoPossible
Total %
absolute values% / ratio0d5d7d10d14d
Korea, South51.781245481494430226241.91:52.60.920., South
New Zealand4.9721870442518011.41:71.90.960. Zealand
Papua New Guinea8.945491075321.31:75.80.970. New Guinea
WHO Western Pacific Region1912.8564301167206140995617062.51:39.80.870. 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