COVID-19 - Southern Asia - 21-04-17

Data from JHU, ca. 9:00 CET

Southern Asia is a Group with the following members:
Afghanistan - Bangladesh - Bhutan - India - Iran - Maldives - Nepal - Pakistan - Sri Lanka

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 18678421 975.2 266784 1.45% 1.26%
Active cases 2501133 130.6 146266 6.21% 5.99%
Deaths 274801 14.3 1920 0.7% 0.57%
Recovered 15902487830.21185980.75%0.68%
Incidence82.0
R7-Value1.67
Deaths per infected 1.47%
Recovered per infected85.14%
Deaths per recovered 1.73%

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 105 14
Active na 74 15
Deaths na 100 55
Recovered na 106 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 active cases 11d 21h
Time to double total cases 55d 9h
Time to reach a million cases
Time to saturate the population>1yr

Diagrams

Members of Group: Southern Asia

Afghanistan - Bangladesh - Bhutan - India - Iran - Maldives - Nepal - Pakistan - Sri Lanka

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:±±±±±±±±±±±±±±±±±±
CountryPopIncidenceR7InfectedActiveDeathsInfectedActiveDeathsInfectedActiveDeathsInfectedActiveInfectedActiveDeathsRecoveredCountry
mioIndicesAbsolute valuesΔ 1dayGrowthrate 7d%Time to doubleCases per 100.000%
Iran83.298200.01.292215445295051663272131298923191.124.970.4662d 3h14d 6h2659.7354.279.62225.82.23Iran
Pakistan219.01716.01.0775628568377162436127-36161490.68-0.490.72101d 14h345.331.27.4306.70.31Pakistan
India1360.05497.01.8314526609204110017564923469214144313411.376.890.650d 19h10d 9h1068.1150.112.9905.10.91India
Sri Lanka21.8037.00.97963543059615168100.23-0.980.47307d 23h441.914.02.8425.10.43Sri Lanka
Afghanistan32.2262.01.0557721112625391098640.143.610.1>1yr19d 12h179.13.57.9167.70.17Afghanistan
Bangladesh168.30422.00.7571525284975102833473-22101010.75-0.880.993d 2h425.050.56.1368.40.37Bangladesh
Maldives0.375166.00.71261451494691242110.34-5.610.42201d 19h6975.7398.618.46558.76.56Maldives
Bhutan0.7426.02.2195261111900.656.780.0107d 11h10d 13h128.48.20.1120.00.12Bhutan
Nepal29.6113.02.012836585890307576864050.29.860.17347d 11h7d 8h958.019.910.4927.70.93Nepal
Southern Asia1915.4382.01.6718678421250113327480126678414626619201.265.990.5755d 9h11d 21h975.2130.614.3830.20.83Southern Asia