COVID-19 - ASEAN - 20-08-06

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 306647 45.9 5713 1.9% 2.25%
Active cases 95302 14.3 2989 3.24% 4.52%
Deaths 7900 1.2 97 1.24% 0.92%
Recovered 20344530.526271.31%0.83%
Deaths per infected 2.58%
Recovered per infected66.35%
Active per infected 31.08%
Deaths per recovered 3.88%
Projection:
Total Case Percentage
0.32%

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 36d 20h 31d 2h
Time to reach a million cases 62d 20h53d 0h
Time to saturate the population>1yr 344d 20h

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 122 33
Active na 103 24
Deaths na 106 62
Recovered na 114 81
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
Malaysia32.726903820012587130.12-1.60.00.13>1yr27.60.60.426.61.41:69.90.96
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
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
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
Cambodia15.2892432902140.25-1.3800.61277d 14h1.60.20.01.40.0na0.88
Burma68.673574363080.23-1.620.00.53307d 6h0.50.10.00.41.91:51.30.86
ASEAN667.913066479530279002034452.254.520.920.8331d 2h75d 15h45.914.31.230.53.91:25.80.66

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
Malaysia32.726903820012587131.41:69.90.960.010.010.010.010.010.1Malaysia
Singapore5.70454555649727480310.11:1666.70.880.00.00.00.00.00.13Singapore
Indonesia266.912118753375875521756457.31:13.70.640.050.050.050.050.060.56Indonesia
Thailand66.48433301245831481.81:54.30.950.020.020.020.020.020.02Thailand
Philippines108.434119460504732150668373.21:31.10.560.020.020.020.030.030.54Philippines
Vietnam96.209750348103922.51:39.20.520.010.020.020.020.020.0Vietnam
Brunei0.442141031382.21:46.10.980.020.020.020.020.020.18Brunei
Cambodia15.2892432902140.0na0.880.00.00.00.00.00.0Cambodia
Burma68.673574363081.91:51.30.860.020.020.020.020.020.0Burma
ASEAN667.913066479530279002034453.91:25.80.660.030.030.030.030.030.32ASEAN

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