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 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 Taiwan connected to the COVID-19 infection aggregated by weeks of 2020.
Here, the number of confirmations and deaths per 1000 of population in Taiwan is shown. These numbers is a better choice when comparing different countries than absolute numbers.
Cumulative China statistics | Distribution over the provinces | Compare the provinces
Bonaire, St. Eustatius & Saba ▽
Viet Nam ▲
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.