Trends in Coronavirus Spread Across the World
and a Calculator for Estimating Cases, Hospital/ICU Beds and Fatalities

Cumulative Cases | Most Affected Countries | Coronavirus Spread Timeline | Daily Changes in Cases/Deaths
Calculator For Estimating Cases, Hospital/ICU Beds & Ventillators | COVID-19 Fatality Rate By Age Group | Fatality Scenarios By Spread & Age Group

Select Your Country

Reported coronavirus cases[1] as of today:
Total Cases 0
New Cases Today -
Total Active Cases -
Total Recovered -
Total Deaths -
Deaths Since Yesterday -
Critical Cases -
Cases Per Million -





Above graph shows cumulative number of cases since 100th Coronavirus case was detected. This graph is good for comparing the rate of spread of Coronavirus for different countries. Click the country name displayed above to include/exclude from comparison.
Above graph compares the total cases, total deaths, total recovered and total critical cases for the most affected countries and the selected country.




Above graph shows the timeline of Coronavirus cases in the most affected countries. If you have selected a country, it will show up as a dashed red line. Click the country name displayed above to include/exclude from comparison.



Above graph shows total cases, total recovered and total deaths for your selection. A straight line pointing up on log scale means exponential increase in cases and the numbers are yet to peak. Flattening of the line is a good sign and indicated the numbers are peaking/have peaked.




Above graph shows the change in reported cases from prior day. An increasing trend means the number of cases are rising and peak cases are yet to come. A decreasing trend means that the cases have peaked and measures to contain the spread of virus were effective.


Above graph shows the change in reported deaths from prior day. An increasing trend means the number of deaths are rising and peak cases are yet to come. A decreasing trend means that the deaths have peaked and measures to contain the spread of virus were effective. Click the country name displayed above to include/exclude from comparison.




Above graph shows snapshot of new cases in last 30 days for the selected country in comparison to the most affected countries. An upward trend means virus spread is still increasing and would lead to more fatalities in the coming weeks and stricter control measures are still needed. A downward trend means the spread is being contained. China shows low numbers because of low reported cases in the last 30 days implying that the spread there is very low compared to the other countries shown in the chart.


Above graph shows snapshot of new cases in last 30 days for the selected country in comparison to the most affected countries. An upward trend means that death toll due to virus spread is still increasing. A downward trend means that the situation is likely to improve. China shows low numbers because of very low reported deaths in the last 30 days implying that the spread there is very low compared to the other countries shown in the chart.




This graph shows Death per million plotted with respect to Cases per million in the population. The death ratio is number of deaths / total number of cases and is represented by the size of the circle. The bigger the circle, the higher the death ratio.
Country # Of Cases/Million # Of Deaths/Million Deaths Ratio % of Population Over 60 Years

This table shows Death per million, Cases per million in the population and the death ratio (number of deaths / total number of cases). We also show the % of population which is over 60% to show how the death rate is impacted by older population in the country.


Estimate Of Covid-19 Fatalities Under Different Spread Scenarios As % Of Population


% Assumed Spread    % Cases Hospitalized    % Cases in ICU   

Flatten The Curve Months      % Deaths



This chart has the population on the vertical axis and percentage of population that has Coronavirus on the horizontal axis.

The red circle shows the number of cases as of today and the percentage of population affected. The purple circle shows the number of cases for the percentage of population that is assumed to affected over time. You can change this number above the chart.

The dashed red line shows the number of expected deaths w.r.t the percent of population affected. The deafult is set at the current observed death rate for the selected country.

The solid blue lines shows the number of people affected (dark blue), number of estimated hospitalizations and number of ICU beds (light blue) required for the population.

The dashed blue lines shows the estimated hospitalizations and number of ICU beds with flattened curve. By flattened curve, we mean that the affected population contracts the virus spread linearly over time. For example, for 100,000 affected cases spread linearly over 3 months we expect 33,333 cases per month. With 20% assumed hospitalization rate and 5% ICU rate, we estimate 6,667 cases per month to be in hospitals and 1,667 cases per month requiring ICU facilities.

The assumptions used are shown above the chart and users are invited to plug in better estimates for their region.
% Spread in Population # Of Cases # Of Hospitalizations # Of Hospitalizations
(Flattened Curve)
# Of ICU Cases # Of ICU Cases
(Flattened Curve)
# Of Deaths
Current Spread of 0.00000% 0 0 0 0 0 0
0.00001% 734 147 34 37 9 0
0.0001% 7,345 1,469 343 367 86 0
0.001% 73,446 14,689 3,427 3,672 857 0
0.01% 734,458 146,892 34,275 36,723 8,569 0
0.1% 7,344,580 1,468,916 342,747 367,229 85,687 0
1% 73,445,800 14,689,160 3,427,471 3,672,290 856,868 0
10% 734,458,000 146,891,600 34,274,707 36,722,900 8,568,677 0
100% 7,344,580,000 1,468,916,000 342,747,067 367,229,000 85,686,767 0
Assumed Spread of 0.0000% 0 0 0 0 0 0


In a scenario where spread is contained to 0.1% of the population of world, 7,344,580 people would be affected, 1,468,916 people would require hospitalization and 367,229 people would require critical care in ICU. If we manage to flatten the curve over 3 months, peak hospitalizations would reduce to 342,747 and ICU cases to 85,687 per month.

If the spread is higher and 1% of the population of world contracts the virus 73,445,800 people would be affected, 14,689,160 people would require hospitalization and 3,672,290 people would require critical care in ICU. If we manage to flatten the curve over 3 months, peak hospitalizations would reduce to 3,427,471 and ICU cases to 856,868 per month.

If there a wider spread with 10% of the population of world contracts the virus 734,458,000 people would be affected, 146,891,600 people would require hospitalization and
36,722,900 people would require critical care in ICU. If we manage to flatten the curve over 3 months, peak hospitalizations would reduce to 34,274,707 and ICU cases to 8,568,677 per month.

Under the assumed spread scenario with 0.0000% of the population of world contracting the virus 0 people would contract the disease, 0 people would require hospitalization and 0 people would require critical care in ICU. If we manage to flatten the curve over 3 months, peak hospitalizations would reduce to 0 and ICU cases to 0.

The above numbers assume 20% of the affected people get hospitalized, 5% of the affected people are admitted to ICU. And to flatten the curve, we assume the hospitalization and ICU cases are evenly spread for the duration of 3 months with average hospitalization lasting 21 days. Readers are invited to change these numbers in the text boxes over the chart and come up with their own estimates.

Please send any of your questions, comments, requests or suggestions to feedback@discoveree.io. We look forward to hearing from our readers.

Reference Websites:
1. https://www.heroku.com/
2. https://www.worldometers.info/coronavirus/coronavirus-age-sex-demographics
3. https://pomber.github.io/covid19/
4. https://www.mohfw.gov.in/