COVID-19 - ASEAN - 20-11-27

Data from JHU, ca. 9:00 CET

ASEAN is a Group with the following members:
Brunei - Burma - Cambodia - Indonesia - Laos - Malaysia - Philippines - Singapore - Thailand - 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 1160994 173.8 10004 0.87% 0.82%
Active cases 129082 19.3 3148 2.5% 1.03%
Deaths 27117 4.1 203 0.75% 0.53%
Recovered 1004795150.466530.67%0.61%
Deaths per infected 2.34%
Recovered per infected86.55%
Active per infected 11.12%
Deaths per recovered 2.7%
Projection:
Total Case Percentage
1.1%

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 80d 2h 84d 13h
Time to reach a million cases
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: 192Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 112 83
Active na 116 69
Deaths na 106 70
Recovered na 107 74
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: ASEAN

Brunei - Burma - Cambodia - Indonesia - Laos - Malaysia - Philippines - Singapore - Thailand - 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
Malaysia32.7266186111307350502042.47-2.130.773.3728d 10h90d 22h189.034.61.1153.40.71:142.90.81
Singapore5.704581996028581110.01-0.230.00.01stable1020.41.10.51018.80.11:2000.01.0
Indonesia266.91252258168604165214374560.980.980.580.7370d 22h119d 6h195.825.76.2163.93.81:26.50.84
Thailand66.48439661086037980.233.740.00.13296d 21h6.00.20.15.71.61:63.30.96
Philippines108.4344259183004782553876160.343.550.290.04206d 3h238d 2h392.827.77.6357.52.11:46.90.91
Vietnam96.20913391343511700.490.030.00.42143d 5h1.40.10.01.23.01:33.40.87
Brunei0.442150231450.2700.00.0257d 16h33.90.50.732.82.11:48.30.97
Cambodia15.289308902990.13-3.8200.2>1yr2.00.10.02.00.0na0.97
Burma68.6786633187961865659721.80.011.21.9438d 21h57d 22h126.227.42.796.12.81:35.30.76
ASEAN667.9111609941290822711710047950.821.030.530.6184d 13h130d 2h173.819.34.1150.42.71:37.00.87

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
Malaysia32.7266186111307350502040.71:142.90.810.010.010.010.010.010.29Malaysia
Singapore5.704581996028581110.11:2000.01.00.00.00.00.00.00.13Singapore
Indonesia266.91252258168604165214374563.81:26.50.840.030.030.030.030.041.67Indonesia
Thailand66.48439661086037981.61:63.30.960.020.020.020.020.020.02Thailand
Philippines108.4344259183004782553876162.11:46.90.910.020.020.020.020.022.06Philippines
Vietnam96.20913391343511703.01:33.40.870.030.030.030.030.030.01Vietnam
Brunei0.442150231452.11:48.30.970.020.020.020.020.020.18Brunei
Cambodia15.289308902990.0na0.970.00.00.00.00.00.0Cambodia
Burma68.6786633187961865659722.81:35.30.760.020.020.020.030.030.73Burma
ASEAN667.9111609941290822711710047952.71:37.00.870.020.020.020.030.031.1ASEAN

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