COVID-19 - WHO South-East Asia Region - 22-09-24

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
7 days/average
Total infections 61822307 2773.8 7924 0.01% 0.01%
Active cases 128081 5.7 -1790 -1.38% -2.59%
Deaths 827888 37.1 55 0.01% 0.01%
Recovered 608663382730.996590.02%0.02%
1st Vaccinations 1637774906.073.5%
Incidence 2.7
R7-Value 0.9
D7-Incidence 0.2
Deaths per infected 1.34%
Recovered per infected 98.45%
Deaths per recovered 1.36%
1st Vaccinations in Pop73.5%

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.
Ranking within 200 evaluated states:
Population na Incidence: 104
D7 Incidence:81 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 134 103
Active na 116 111
Deaths na 119 82
Recovered na 134 101
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 active cases
Time to double total cases stable
Time to reach a million cases
Time to saturate the populationstable

Diagrams

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:±±±±±±±±±±±±±±±±±±±±
CountryPopIncidenceR7D7IActiveDeathsInfectedActiveDeathsInfectedActiveDeathsInfectedActiveDeathsRecoveredVacc.Country
mioIndicesAbsolute valuesΔ 1dayΔ 7dayGrowthrate 7d%Cases per 100.000%
Pakistan219.0170.20.840.01178306120-295070.0-8.760.0717.90.514.0703.40.763.63Pakistan
Indonesia266.9125.20.840.4305651579981724-885121140.03-3.910.012405.711.559.22335.12.3476.42Indonesia
Thailand66.4847.50.851.31080632718655-43812890.02-5.780.047036.816.349.26971.36.9785.73Thailand
India1360.0542.50.870.1727555285104777-299231730.01-1.980.03276.95.338.93232.73.2375.45India
Sri Lanka21.8030.50.630.5286167549-231100.0-7.690.013076.21.376.82998.03.078.56Sri Lanka
Bangladesh168.3042.41.610.16541293513501284120.034.830.011200.93.917.41179.51.1878.23Bangladesh
Maldives0.37510.10.90.08030800000.0-1.630.049360.721.382.249257.249.26100.0Maldives
Bhutan0.74241.91.670.04972100000.079.520.08322.867.02.88252.98.2593.8Bhutan
Nepal29.611.10.570.08811201729-83110.0-7.70.03375.73.040.63332.23.3390.23Nepal
Burma68.673.61.230.24461194553801182110.064.60.01904.56.528.3869.70.8750.64Burma
Timor-Leste1.260.70.410.0311380-13000.01-8.250.01845.12.511.01831.71.830.0Timor-Leste
WHO South-East Asia Region2228.782.70.90.21280818278887924-1790554170.01-2.590.012773.85.737.12730.92.7373.48WHO South-East Asia Region