COVID-19 - Central Asia - 20-08-02

Data from JHU, ca. 9:00 CET

Central Asia is a Group with the following members:
Kazakhstan - Kyrgyzstan - Tajikistan - Turkmenistan - Uzbekistan

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 162212 218.0 3312 2.08% 1.72%
Active cases 47904 64.4 177 0.37% -0.78%
Deaths 2414 3.2 17 0.71% 0.78%
Recovered 111894150.431182.87%2.34%
Deaths per infected 1.49%
Recovered per infected68.98%
Active per infected 29.53%
Deaths per recovered 2.16%
Total Case Percentage

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 of the last day or average of the last five 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 days rate Last average rate
Time to double cases 33d 14h 40d 17h
Time to reach a million cases 88d 4h106d 21h
Time to saturate the population297d 1h 360d 4h

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: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 69 59
Active na 55 138
Deaths na 77 73
Recovered na 59 33
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!


Members of Group: Central Asia

Kazakhstan - Kyrgyzstan - Tajikistan - Turkmenistan - Uzbekistan

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:±±±±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredInfectedActiveDeathsRecoveredInfectedDeathsInfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
Kazakhstan18.6679266229358793625111.46- 18h496.4157.34.2334.91.31:78.70.67
Uzbekistan34.081253369352151158333.17-0.453.515.0322d 5h20d 2h74.327.40.446.50.91:105.30.62
Kyrgyzstan6.5243671980361409272741.65-3.351.013.5442d 8h69d 4h562.9123.221.6418.15.21:19.30.74
Tajikistan9.28749511586162760. 17h80.812.50.767.61.01:103.10.84
Central Asia74.411622124790424141118941.72-0.780.782.3440d 17h89d 6h218.064.43.2150.42.21:46.30.69

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
Deaths per infected ... days agoPossible
Total %
absolute values% / ratio0d5d7d10d14d
Central Asia74.411622124790424141118942.21:46.30.690. Asia

Heinsberg study

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt