COVID-19 - WHO South-East Asia Region - 21-04-17

Data from JHU, ca. 9:00 CET

WHO South-East Asia Region is a Group with the following members:
Bangladesh - Bhutan - Burma - India - Indonesia - Korea, North - Maldives - Nepal - Pakistan - Sri Lanka - Thailand - Timor-Leste

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 18189458 816.1 251996 1.4% 1.19%
Active cases 2289411 102.7 138442 6.44% 5.91%
Deaths 252570 11.3 1731 0.69% 0.55%
Recovered 15647477702.11118230.72%0.65%
Deaths per infected 1.39%
Recovered per infected86.02%
Deaths per recovered 1.61%

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 109 14
Active na 83 15
Deaths na 104 56
Recovered na 108 64
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 58d 13h
Time to reach a million cases
Time to saturate the population>1yr


Members of Group: WHO South-East Asia Region

Bangladesh - Bhutan - Burma - India - Indonesia - Korea, North - Maldives - Nepal - Pakistan - Sri Lanka - Thailand - Timor-Leste

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%
Pakistan219.01716.01.0775628568377162436127-36161490.68-0.490.72101d 14h96d 1h345.331.27.4306.70.31Pakistan
Indonesia266.91214.01.041599763722394332850416961320.33-0.550.3207d 22h235d 2h599.427.116.2556.10.56Indonesia
Thailand66.48413.03.44058511554991547146323.6120.850.2919d 12h235d 16h61.
India1360.05497.01.8314526609204110017564923469214144313411.376.890.650d 19h115d 15h1068.1150.112.9905.10.91India
Sri Lanka21.8037.00.97963543059615168100.23-0.980.47307d 23h146d 10h441.914.02.8425.10.43Sri Lanka
Bangladesh168.30422.00.7571525284975102833473-22101010.75-0.880.993d 2h77d 18h425.050.56.1368.40.37Bangladesh
Maldives0.375166.00.71261451494691242110.34-5.610.42201d 19h164d 2h6975.7398.618.46558.76.56Maldives
Bhutan0.7426.02.2195261111900.656.780.0107d 11h128.48.20.1120.00.12Bhutan
Nepal29.6113.02.012836585890307576864050.29.860.17347d 11h>1yr958.019.910.4927.70.93Nepal
Timor-Leste1.2623.01.241236522243603.921.0914.2918d 0h5d 4h98.
WHO South-East Asia Region2228.7865.01.7118189458228941125257025199613844217311.195.910.5558d 13h125d 9h816.1102.711.3702.10.7WHO South-East Asia Region