Disease Comparison: Kill Rate and Number of Deaths

We take a look at the deadliest diseases in history. What is the most dangerous organism? Which virus have the highest kill rate? In this animated 3D number and rate comparison, we shall compare the total number of deaths, and how quick a person somewhere on earth perishes due to such disease.

This video is updated as of 24 April 2020. The current numbers may change.

Disclaimer:
This video is for entertainment purpose only, are merely non official estimates and should be used with caution. Total death count and rates sources are listed below. Note that for a couple of diseases, the death rates are an arbitrary estimate instead of a proper figure due to lack of data. Those that are highly estimated, and susceptible to a huge underestimation will be labelled in the sources. These figures estimates are likely flawed, but would still give a somewhat plausible idea of the total fatality count. You may look at the sources for obtaining the figures and fact check them first should you wish to dwell more on the numbers presented.

The methodology for obtaining the number counts are, in order of priority: 1) Identify any figures that exists for the total death count of a certain disease. 2) Identify the yearly rate, and the yearly rate a significant number of years back, and linear interpolate them with 1/3 the number of years to the first documented case of such disease. Add any possible pandemic events that may have occurred during that time period which may not have been factored in.

The rates are obtained via CDC or WHO estimates on their websites where they either lists actual year or an estimate of the yearly occurrence. If median is present, it will be used, otherwise, it will be the mean of the upper and lower limit. The "Every xx time unit, someone dies" is taken to be the average number of fatalities over the total time period stated in the parenthesis. If there is no specific year given, we assume 1 year prior to the update of the web-page that lists the number per year.

Images are from CDC and are in Public Domain.

Sources:

Abstraction by Luca Fraula
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