This is the part of confirmed infection cases against the total 24 million of its population.
The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Taiwan.
The height of a single bar is the total number of people suffered from Coronavirus in Taiwan 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 Taiwan. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).
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.
The gray bars on this graph display the absolute number of deaths that happen in Taiwan every month during the recent five years of available data. The red bars are the absolute numbers of people died due to the COVID-19 infection.
This graph draws the number of deaths in Taiwan connected to the COVID-19 infection aggregated by weeks of 2020.
| Date | Confirmed cases |
Daily growth, % |
Recovered cases |
Died cases |
Active cases |
Recovery rate, % |
Mortality rate, % |
Affected population, % |
Confirmed per million |
Died per million |
|---|---|---|---|---|---|---|---|---|---|---|
| Apr 6th | 373 | 2.8 % | 57 | 5 | 311 | 15.3 % | 1.3 % | 0.0016 % | 15.69 | 0.21 |
| Apr 5th | 363 | 2.3 % | 50 | 5 | 308 | 13.8 % | 1.4 % | 0.0015 % | 15.26 | 0.21 |
| Apr 4th | 355 | 2.0 % | 50 | 5 | 300 | 14.1 % | 1.4 % | 0.0015 % | 14.93 | 0.21 |
| Apr 3rd | 348 | 2.7 % | 50 | 5 | 293 | 14.4 % | 1.4 % | 0.0015 % | 14.63 | 0.21 |
| Apr 2nd | 339 | 3.0 % | 45 | 5 | 289 | 13.3 % | 1.5 % | 0.0014 % | 14.26 | 0.21 |
| Apr 1st | 329 | 2.2 % | 39 | 5 | 285 | 11.9 % | 1.5 % | 0.0014 % | 13.83 | 0.21 |
| Mar 31st | 322 | 5.2 % | 39 | 5 | 278 | 12.1 % | 1.6 % | 0.0014 % | 13.54 | 0.21 |
| Mar 30th | 306 | 2.7 % | 39 | 5 | 262 | 12.7 % | 1.6 % | 0.0013 % | 12.87 | 0.21 |
| Mar 29th | 298 | 5.3 % | 30 | 2 | 266 | 10.1 % | 0.7 % | 0.0013 % | 12.53 | 0.08 |
| Mar 28th | 283 | 6.0 % | 30 | 2 | 251 | 10.6 % | 0.7 % | 0.0012 % | 11.90 | 0.08 |
| Mar 27th | 267 | 6.0 % | 29 | 2 | 236 | 10.9 % | 0.7 % | 0.0011 % | 11.23 | 0.08 |
| Mar 26th | 252 | 7.2 % | 29 | 2 | 221 | 11.5 % | 0.8 % | 0.0011 % | 10.60 | 0.08 |
| Mar 25th | 235 | 9.3 % | 29 | 2 | 204 | 12.3 % | 0.9 % | < 0.001 % | 9.88 | 0.08 |
| Mar 24th | 215 | 10.3 % | 29 | 2 | 184 | 13.5 % | 0.9 % | < 0.001 % | 9.04 | 0.08 |
| Mar 23rd | 195 | 15.4 % | 28 | 2 | 165 | 14.4 % | 1.0 % | < 0.001 % | 8.20 | 0.08 |
| Mar 22nd | 169 | 10.5 % | 28 | 2 | 139 | 16.6 % | 1.2 % | < 0.001 % | 7.11 | 0.08 |
| Mar 21st | 153 | 13.3 % | 28 | 2 | 123 | 18.3 % | 1.3 % | < 0.001 % | 6.43 | 0.08 |
| Mar 20th | 135 | 25.0 % | 26 | 2 | 107 | 19.3 % | 1.5 % | < 0.001 % | 5.68 | 0.08 |
| Mar 19th | 108 | 8.0 % | 26 | 1 | 81 | 24.1 % | 0.9 % | < 0.001 % | 4.54 | 0.04 |
| Mar 18th | 100 | 29.9 % | 22 | 1 | 77 | 22.0 % | 1.0 % | < 0.001 % | 4.21 | 0.04 |
| Mar 17th | 77 | 14.9 % | 22 | 1 | 54 | 28.6 % | 1.3 % | < 0.001 % | 3.24 | 0.04 |
| Mar 16th | 67 | 13.6 % | 20 | 1 | 46 | 29.9 % | 1.5 % | < 0.001 % | 2.82 | 0.04 |
| Mar 15th | 59 | 11.3 % | 20 | 1 | 38 | 33.9 % | 1.7 % | < 0.001 % | 2.48 | 0.04 |
| Mar 14th | 53 | 6.0 % | 20 | 1 | 32 | 37.7 % | 1.9 % | < 0.001 % | 2.23 | 0.04 |
| Mar 13th | 50 | 2.0 % | 20 | 1 | 29 | 40.0 % | 2.0 % | < 0.001 % | 2.10 | 0.04 |
| Mar 12th | 49 | 2.1 % | 20 | 1 | 28 | 40.8 % | 2.0 % | < 0.001 % | 2.06 | 0.04 |
| Mar 11th | 48 | — | 17 | 1 | 30 | 35.4 % | 2.1 % | < 0.001 % | 2.02 | 0.04 |
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The green and red arrows display the change of the number of new confirmed cases for the last two days.
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. 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.