COVID-19 - Southeastern Asia - 20-06-03

Data from JHU, ca. 9:00 CET

Southeastern Asia is a Group with the following members:
Brunei - Burma - Cambodia - Indonesia - Laos - Malaysia - Philippines - Singapore - Thailand - Timor-Leste - 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 96310 14.4 2099 2.23% 1.97%
Active cases 47043 7.0 1017 2.21% 0.47%
Deaths 2877 0.4 43 1.52% 1.24%
Recovered 463906.910392.29%2.69%
Deaths per infected 2.99%
Recovered per infected48.17%
Active per infected 48.85%
Deaths per recovered 6.2%
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 31d 10h 35d 12h
Time to reach a million cases 106d 4h119d 22h
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 123 78
Active na 105 92
Deaths na 108 58
Recovered na 116 57
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: Southeastern Asia

Brunei - Burma - Cambodia - Indonesia - Laos - Malaysia - Philippines - Singapore - Thailand - Timor-Leste - 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
Malaysia32.7267970132411565310.61-1.30.00.74114d 5h24.44.00.420.01.81:56.80.82
Singapore5.704364051279924235821.46-2.30.873.3947d 19h80d 1h638.3224.40.4413.50.11:1000.00.65
Indonesia266.9122823318129169884062.290.861.824.1330d 15h38d 9h10.66.80.63.120.21:5.00.3
Thailand66.4843084585829680.05-4.040.350.14stable197d 21h4.60.10.14.51.91:51.30.96
Philippines108.434197481462197441533.53.150.51.7820d 4h137d 15h18.213.50.93.823.41:4.30.21
Vietnam96.2093282603020.0-8.5701.340.30.00.00.30.0na0.92
Brunei0.442141121380.00.00.00.031.90.20.531.21.41:69.00.98
Cambodia15.289125201230.160.000.16>1yr0.80.00.00.80.0na0.98
Burma68.672338261452.443.730.01.9628d 18h0.30.10.00.24.11:24.20.62
Southeastern Asia667.9196310470432877463901.970.471.242.6935d 12h56d 5h14.47.00.46.96.21:16.10.48
Timor-Leste1.262400240.0000.01.90.00.01.90.0na0.01

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
Malaysia32.7267970132411565311.81:56.80.820.010.010.020.020.020.09Malaysia
Singapore5.704364051279924235820.11:1000.00.650.00.00.00.00.00.11Singapore
Indonesia266.91228233181291698840620.21:5.00.30.060.070.070.070.080.17Indonesia
Thailand66.4843084585829681.91:51.30.960.020.020.020.020.020.02Thailand
Philippines108.4341974814621974415323.41:4.30.210.050.060.060.070.070.24Philippines
Vietnam96.2093282603020.0na0.920.00.00.00.00.00.0Vietnam
Brunei0.442141121381.41:69.00.980.010.010.010.010.010.12Brunei
Cambodia15.289125201230.0na0.980.00.00.00.00.00.0Cambodia
Burma68.672338261454.11:24.20.620.030.030.030.030.030.0Burma
Southeastern Asia667.9196310470432877463906.21:16.10.480.030.030.030.040.040.12Southeastern Asia
Timor-Leste1.262400240.0na0.010.00.00.00.00.00.0Timor-Leste

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