COVID-19 - WHO South-East Asia Region - 22-05-23

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 59613911 2674.7 6189 0.01% 0.01%
Active cases 120862 5.4 -3583 -2.88% -2.82%
Deaths 818698 36.7 81 0.01% 0.01%
Recovered 586743512632.696910.02%0.02%
1st Vaccinations 1601093030.071.8%
Incidence 2.4
R7-Value 0.82
D7-Incidence 0.2
Deaths per infected 1.37%
Recovered per infected 98.42%
Deaths per recovered 1.4%
1st Vaccinations in Pop71.8%

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 198 evaluated states:
Population na Incidence: 118
D7 Incidence:84 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 129 108
Active na 121 128
Deaths na 115 71
Recovered na 127 91
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%
Pakistan219.0170.31.40.01004303790-877030.01-1.060.0698.50.513.9684.20.6861.57Pakistan
Indonesia266.9120.70.790.34079156534174-8012700.01.230.012267.71.558.62207.52.2174.89Indonesia
Thailand66.48455.30.813.982169298114144-2086362610.12-2.770.136647.8123.644.86479.46.4884.81Thailand
India1360.0541.10.830.2323795244901675-613312300.0-3.130.013171.92.438.63131.03.1374.23India
Sri Lanka21.8030.40.740.02041651277010.0-3.850.03044.40.975.72967.72.9778.28Sri Lanka
Bangladesh168.3040.10.980.043529130311230.04.40.01160.60.317.31143.01.1476.6Bangladesh
Maldives0.37527.21.320.017929810233000.01-5.70.047935.447.879.547808.247.81100.0Maldives
Bhutan0.7425.40.650.0102214025000.01-13.410.08037.513.82.88020.98.0293.39Bhutan
Nepal29.610.21.290.01281195282000.0-3.740.03306.60.440.43265.83.2775.49Nepal
Burma68.670.10.940.01711943452000.0-3.920.0893.00.228.3864.50.8645.14Burma
Timor-Leste1.260.61.750.01113133000.0-1.150.01817.10.910.41805.91.810.0Timor-Leste
WHO South-East Asia Region2228.782.40.820.21208628186986189-3583815180.01-2.820.012674.75.436.72632.62.6371.84WHO South-East Asia Region