COVID-19 - Southeastern Asia - 21-04-17

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 3152753 472.0 20388 0.65% 0.63%
Active cases 253306 37.9 1557 0.62% 0.1%
Deaths 63922 9.6 212 0.33% 0.46%
Recovered 2835525424.5186190.66%0.68%
Deaths per infected 2.03%
Recovered per infected89.94%
Deaths per recovered 2.25%

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: 194Population na
Incidence: naR7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 116 56
Active na 104 72
Deaths na 109 70
Recovered na 117 58
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!

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 over the last seven 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 weeks rate
Time to double cases 111d 2h
Time to reach a million cases
Time to saturate the populationstable


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:±±±±±±±±±±±±±±±±±±
mioIndicesAbsolute valuesΔ 1dayGrowthrate 7d%Time to doubleCases per 100.000%
Malaysia32.72642.01.45372859232491370233169350.542.450.52129d 4h133d 3h1139.371.04.21064.11.06Malaysia
Indonesia266.91214.01.041599763722394332850416961320.33-0.550.3207d 22h235d 2h599.427.116.2556.10.56Indonesia
Thailand66.48413.03.44058511554991547146323.6120.850.2919d 12h235d 16h61.
Philippines108.43467.01.059260521420091581011081-1465721.18-0.81.059d 5h69d 11h854.0131.014.6708.50.71Philippines
Vietnam96.2090.01.352781155359300.475.690.0149d 1h2.
Cambodia15.28911.01.21577130823929114815.125.676.0713d 21h11d 18h37.720.20.317.30.02Cambodia
Southeastern Asia667.9120.01.143152753253306639222038815572120.630.10.46111d 2h151d 9h472.037.99.6424.50.42Southeastern Asia
Timor-Leste1.2623.01.241236522243600.040.010.1418d 0h5d 4h98.