I wonder if someone from the worldometers.info website is reading these boards though, or someone who has picked up my suggestion to add a tab for Tot
deaths/1M pop to their table and passed on the suggestion to them. I've been talking about it here on ATS for the past couple of days, and today,
suddenly the tab is added. Maybe someone else just had the same idea (realizing that Tot cases/1M pop is unreliable based on testing policy as I
explained above, therefore, if you look at deaths, you can get a more accurate country to country comparison based on their varying populations as
well as a better idea what the real Tot cases/1M pop is like, including the undetected untested cases if one equalizes the fatality rates everywhere,
assuming the same fatality rate for all countries and that the difference in fatality rates in the statistics concerning detected cases is primarily
caused by a difference in undetected cases per country).
For example, if you want to get closer to the real Tot cases/1M pop per country, making an educated guess what the undetected cases are per country,
you assume the same fatality rate for all countries, for example something close to what it is in Germany now: 0.5% (it's actually a little lower, but
this is for easier calculation). Then a number that is closer to the real Tot cases/1M Pop for the following countries becomes:
Italy: 20096 (2% of the pop would be infected with the virus if estimating undetected cases in this manner, only 0.1% detected, i.e. just over a 1000
cases per 1M pop, the currently listed figure at worldometers.info in the Tot cases/1M pop tab)
Spain: 11539 (1.15% of the pop counting possible undetected cases, only 0.08% of the pop for detected cases, a.k.a. 849 detected cases/1M pop)
Iran: 4599 (0.46%, 0.03%, 295)
Netherlands: 3217 (0.32%, 0.03%, 324)
Switzerland: 2818 (0.28%, 0.11%, 1053; notice the much higher detection rates here in comparison with the first number that includes an estimate of
undetected cases based on equalizing the fatality rates to one global number, 0.5% fatality rate in this table; Switzerland after all already has a
low fatality rate based on detected cases, implying less undetected cases in comparison with countries with a high fatality rate based on detected
cases)
France: 2633 (0.26%, 0.03%, 304)
Belgium: 2103 (0.21%, 0.04%, 368)
Denmark: 1104 (0.11%, 0.03%, 272)
UK: 990 (0.1%, 0.01%, 99; so if you use the fatality rate that is a bit closer to Germany's fatality rate concerning known cases, the actual cases in
the UK could be 10 times higher than currently detected because of less efficient testing than Germany, and that's counting Germany as slightly having
overstated the number of cases currently listed per 1M pop, which is 374, almost 4 times higher than the UK. Using a 0.5% fatality rate for Germany
gives them 317 cases per 1M pop in comparison. In that case the UK has more than 3 times as many cases per 1M pop than Germany if Corona is just as
deadly in the UK as in Germany and the differences in fatality rates are actually caused by differences in detection and no other influences. Of
course this is not the real situation but it helps with comparison and gets the numbers closer to what's actually going on, cause these other possible
influences are assumed less impacting for this comparison than succesful detection, less impacting on the fatality rates per detected case that is)
US: 355 (0.04%, 0.01%, 147)
So Germany with 317 is actually still doing better with this disease than the US, even though the number of detected cases per 1M pop for Germany is
374 and the US is 147. Basically what this calculation is doing is estimating the real number of Tot cases/1M pop (detected + undetected) based on
number of deaths using a standardized fatality rate to calculate back to a number of cases that would have caused those deaths with that fatality
rate. In order to compare countries by using the per 1 million pop method alongside it. Here, I'll type out the calculation for an estimated 'real'
Tot cases/1M pop for S. Korea which has the following relevant stats:
Total deaths: 120
Total (detected) cases: 9037
Assumed global fatality rate: 0.5%
Total (detected) cases/1M pop: 176
120 / 9037 = fatality rate based on detected cases / 0.5 (global assumed fatality rate) * 100 (turning percentages into a number that will become a
number per 1M pop) * 176 = 467 estimated cases (detected + undetected) per 1 million pop. Or without the commentary:
120 / 9037 / 0.5 * 100 * 176 = 467 (compared to the 176 cases/1M pop listed on worldometers.info for detected cases, which boils down to 0.05% of the
population being potentially infected based on currently detected fatality rate and an assumed actual fatality rate of 0.5%, assuming the detected
fatality rate differs from that 0.5% because of undetected cases for comparison purposes, and not because the fatality rate is actually different in
that country compared to Germany, which comes the closest to 0.5%; also incidentally a more realistic fatality rate for Corona than the 3.7% given by
the WHO some time ago for detected cases, which everyone knows, are not all
actual cases, i.e. the real fatality rate. As they themselves
pointed out then, estimating a 1% fatality rate when undetected cases are estimated and included. Which seems to be a bit too high compared to what we
see in Germany, Norway and Austria, where apparently, they do a lot of efficient testing and detect a lot of cases compared to the undetected cases in
other countries and they all have a fatality rate below 0.5%, which means the real fatality rate can only be lower cause obviously they can't detect
all cases even with heavy testing)
edit on 24-3-2020 by whereislogic because: (no reason given)