This is the part of confirmed infection cases against the total 327 thousand of its population.
The whole pie reflects the total number of confirmed cases of people infected by coronavirus in the Tuva Republic.
The height of a single bar is the total number of people suffered from Coronavirus in the Tuva Republic and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.
This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.
This graph shows the speed of growth (in %) over time in the Tuva Republic. The only parameter here is the number of confirmed cases.
Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that fewer cases registered today than yesterday.
This and the following graph show the indices that some countries use for setting travel restrictions. The value is the number of new confirmed cases for the last 7 days per 100,000 of population.
The value is the number of new confirmed cases for the last 14 days per 100,000 of population.
This graph draws the number of deaths in the Tuva Republic connected to the COVID-19 infection aggregated by weeks of 2020.
Here, the number of confirmations and deaths per 1000 of population in the Tuva Republic is shown. These numbers is a better choice when comparing different countries than absolute numbers.
| Date | Confirmed cases |
Daily growth, % |
Recovered cases |
Fatal cases |
Active cases |
Recovery rate, % |
Mortality rate, % |
Affected population, % |
Confirmed per 1000 |
Died per 1000 |
|---|---|---|---|---|---|---|---|---|---|---|
| Dec 5 | 52,143 | 0.0 % | 51,624 | 356 | 163 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Dec 4 | 52,142 | 0.0 % | 51,624 | 356 | 162 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Dec 3 | 52,138 | 0.0 % | 51,624 | 356 | 158 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Dec 2 | 52,135 | 0.0 % | 51,624 | 356 | 155 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Dec 1 | 52,133 | 0.0 % | 51,624 | 356 | 153 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Nov 30 | 52,130 | 0.0 % | 51,624 | 356 | 150 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Nov 29 | 52,130 | 0.0 % | 51,624 | 356 | 150 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Nov 28 | 52,128 | 0.0 % | 51,624 | 356 | 148 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Nov 27 | 52,126 | 0.0 % | 51,624 | 356 | 146 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Nov 26 | 52,124 | 0.0 % | 51,622 | 356 | 146 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
| Nov 25 | 52,121 | — | 51,622 | 356 | 143 | 99.0 % | 0.7 % | 16 % | 159 | 1.09 |
Cumulative Russian statistics | Distribution over the regions | Compare the regions
Khanty–Mansi Autonomous Okrug – Yugra △
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The green and red arrows next to the country name display the trend of the new confirmed cases during the last week.
Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.
This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. Central European time.
Read the Technology blog. Look at the source code: GitHub. Powered by Raku.
Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.