This is the part of confirmed infection cases against the total 7 million of its population.
The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Nicaragua.
The height of a single bar is the total number of people suffered from Coronavirus in Nicaragua 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 Nicaragua. 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 Nicaragua 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.
Note that the vertical axis is drawn in logarithmic scale by default.
As there is no monthly data available for Nicaragua, the gray bars are the average numbers obtained via the crude death values known for this country for the recent five years of the available dataset.
This graph draws the number of deaths in Nicaragua connected to the COVID-19 infection aggregated by weeks of 2020.
Crude mortality rate is the number of people died in a country within a year per each 1000 of population.
Here, the crude rate for Nicaragua is shown for the last 50 years. The red bar against 2020 is the number of people died due to COVID-19 per each 1000 people. Thus, you can directly compare the two parameters.
Note that the vertical axis is drawn in logarithmic scale by default.
| 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 | 6 | 0.0 % | 0 | 1 | 5 | 0.0 % | 16.7 % | < 0.001 % | 0.92 | 0.15 |
| Apr 5th | 6 | 20.0 % | 0 | 1 | 5 | 0.0 % | 16.7 % | < 0.001 % | 0.92 | 0.15 |
| Apr 4th | 5 | 0.0 % | 0 | 1 | 4 | 0.0 % | 20.0 % | < 0.001 % | 0.76 | 0.15 |
| Apr 3rd | 5 | 0.0 % | 0 | 1 | 4 | 0.0 % | 20.0 % | < 0.001 % | 0.76 | 0.15 |
| Apr 2nd | 5 | 0.0 % | 0 | 1 | 4 | 0.0 % | 20.0 % | < 0.001 % | 0.76 | 0.15 |
| Apr 1st | 5 | 0.0 % | 0 | 1 | 4 | 0.0 % | 20.0 % | < 0.001 % | 0.76 | 0.15 |
| Mar 31st | 5 | 25.0 % | 0 | 1 | 4 | 0.0 % | 20.0 % | < 0.001 % | 0.76 | 0.15 |
| Mar 30th | 4 | 0.0 % | 0 | 1 | 3 | 0.0 % | 25.0 % | < 0.001 % | 0.61 | 0.15 |
| Mar 29th | 4 | 0.0 % | 0 | 1 | 3 | 0.0 % | 25.0 % | < 0.001 % | 0.61 | 0.15 |
| Mar 28th | 4 | 100.0 % | 0 | 1 | 3 | 0.0 % | 25.0 % | < 0.001 % | 0.61 | 0.15 |
| Mar 27th | 2 | 0.0 % | 0 | 1 | 1 | 0.0 % | 50.0 % | < 0.001 % | 0.31 | 0.15 |
| Mar 26th | 2 | 0.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.31 | 0.00 |
| Mar 25th | 2 | 0.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.31 | 0.00 |
| Mar 24th | 2 | 0.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.31 | 0.00 |
| Mar 23rd | 2 | 0.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.31 | 0.00 |
| Mar 22nd | 2 | 0.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.31 | 0.00 |
| Mar 21st | 2 | 100.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.31 | 0.00 |
| Mar 20th | 1 | 0.0 % | 0 | 0 | 1 | 0.0 % | 0.0 % | < 0.001 % | 0.15 | 0.00 |
| Mar 19th | 1 | — | 0 | 0 | 1 | 0.0 % | 0.0 % | < 0.001 % | 0.15 | 0.00 |
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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.