COVID-19 - WHO South-East Asia Region - 23-01-12

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 62351607 2797.6 622 0.0% 0.01%
Active cases 40697 1.8 -455 -1.11% 28.57%
Deaths 834991 37.5 8 0.0% 0.02%
Recovered 614759192758.310690.0%0.0%
1st Vaccinations 102724104346.1%
Incidence 1.5
R7-Value 4.73
D7-Incidence 0.5
Deaths per infected 1.34%
Recovered per infected 98.6%
Deaths per recovered 1.36%
1st Vaccinations in Pop46.1%

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: 99
D7 Incidence:67 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 135 86
Active na 113 5
Deaths na 122 47
Recovered na 135 104
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 2d 18h
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%
Pakistan219.0170.10.920.02653063920-101010.01.380.0719.60.114.0705.50.710.0Pakistan
Indonesia266.9121.10.830.26320160711412-2736460.01-3.890.02519.62.460.22457.02.460.0Indonesia
Thailand66.48443.916.1115.3309743466800010180.09221.390.437148.846.652.17050.07.050.0Thailand
India1360.0540.10.870.02599530725174-692110.0-1.40.03285.30.239.03246.13.2575.53India
Sri Lanka21.8030.21.030.1751682162030.0-0.370.03081.90.377.13004.43.00.0Sri Lanka
Bangladesh168.3040.10.620.02642944144010.02.190.01210.50.217.51192.91.190.0Bangladesh
Maldives0.3752.40.60.02431100000.0-1.590.049547.06.483.049457.649.460.0Maldives
Bhutan0.7421.80.930.0272100000.013.270.08433.53.62.88427.08.430.0Bhutan
Nepal29.610.10.920.046120204-12010.0-1.550.03380.80.240.63340.03.340.0Nepal
Burma68.670.00.580.084194901-7000.0-3.690.0922.90.128.4894.40.890.0Burma
Timor-Leste1.260.50.460.01913811000.05.820.01857.51.511.01845.11.850.0Timor-Leste
WHO South-East Asia Region2228.781.54.730.540697834991622-455810810.0128.570.022797.61.837.52758.32.7646.09WHO South-East Asia Region