Quite a good imitation but I still prefer the original
. He taught me everything I know and also how to communicate information clearly.
The most reliable and informative sites, in addition to John Hopkins, are Worldometer
, because it also includes data scaled for population size and allows you to sort by any parameter, the Europa COVID-19 site
, because it allows you to download the data in Excel format, and others, so you can do your own modelling, and EUROMOMO
, because it provides excess death from all causes data while the others concentrate on purely COVID-19 data, although from a limited range of European countries. While not really a source of data, Crete Tip
is also useful, since it gives specific updates on Crete, if any, as well as general Greek data but it is an overview, not detailed.
Note the use of the word "data" in that paragraph. All these sites provide "data" but they don't provide "information". "Information" is obtained by analysing the "data". As an example:
The worldwide data at the top of the Worldometer site is quite interesting as it presents the daily number of new cases and the daily number of deaths side by side. The daily number of new cases rises very rapidly up to the beginning of April. It then flattens out through April but starts to rise again in early May and is still continuing to rise, although not as fast as at the beginning. The daily deaths reached a peak about 2 weeks after the daily cases started to flatten and since then has been in a slow but fairly steady decline. The delay in the deaths is expected, as people who are going to succumb mostly do so about two weeks after contracting it, but the fall in daily deaths as daily cases continue to rise is a bit odd. It might demonstrate that the virulence of the virus is weakening or it might be due to some other factor.
If it is weakening that would be good for easing but it's a bit early to gamble on it helping. It is a known phenomena with many viruses. There are many instances of the virus each with slightly different genome sequences. The differences are not enough to counts as a different strain but some will be more virulent than others. If somebody catches a virulent version they become seriously ill quite quickly and are unlikely to be out and about spreading that particular version. Somebody who catches a much less virulent version is more likely to be asymptomatic or with very mild symptoms that they ignore. They are more likely to be out and about potentially spreading that version. Over time the less virulent versions dominate and the most virulent versions die out. The virulent version may continue to spread in hospitals.
The graphs on the Worldometer site are simply "data". The analysis in the above two paragraphs attempts to extract "information" from the data. The analysis might be totally correct or it might be totally wrong or it might be somewhere in between. The "data" is real. The paragraphs provide the logic that was used to extract the "information" from the "data". Make your own mind up. Provide different "information" extracted from the same "data". Provide a criticism of the logic.