Okay, fixed the privacy issue - JSON data is now fetched from my server, which proxies the request for it upstream (while setting all headers like User-Agent and such to some irrelevant values):
https://rys.io/covid/#global,united-states,china,france,spain,italy

This means that your IP nor your User Agent will not show up anywhere else apart from my server (which you're already visiting to see the shiny shiny graphs).

Privacy matters.

No idea why it took me so long, but added *active cases* graph; that is: confirmed - (deaths + recovered):
https://rys.io/covid/#china,united-states,south-korea

I think that's a pretty useful graph. I should have added it sooner.

One thing that becomes evident in the "active cases" mode is that the US currently has almost four times the active cases that China had at their worst moment.

Go to:
https://rys.io/covid/#china,united-states

...and switch to "active cases", "linear".

I really need to implement the ability to link to a particular chart mode too. One day!

Bunch of fixes for the chart:
- the y-axis legend now properly reflects the data the chart is showing (confirmed cases / recoveries / deaths / active cases);
- lowered the lineTension of the charts, so it's a bit more jagged, but a bit less weird when data changes dramatically day to day;
- negative values now charted correctly, especially with linear y-axis.

Go here and switch to "active cases", "linear", "new":
https://rys.io/covid/#iceland,china

Added the ability to chart the data from a selected date. This might be more natural way of viewing the charts for many people:
https://rys.io/covid/#china,iran,italy,spain,united-kingdom,iceland

(select "Start on <date>" below the graph).

Made the chart nicer, with a title, way better legend, and some gradients for the guidelines:
https://rys.io/covid/#china,iran,italy,spain,united-kingdom,iceland

Already got some additional ideas for next steps. And I have some time tomorrow to implement them. Stay tuned.

Added a menu to quickly load data for some potentially #COVID19 interesting infection sites:
https://rys.io/covid/

Here's hope - 6 sites with highest daily active cases drop:
https://rys.io/covid/#iran,germany,switzerland,austria,south-korea,thailand

Also, a bunch of fixes, "mortality" is now correctly called "death-to-case ratio", and "clear all" and "reset all settings" buttons.

Ideas for "load 6 sites that" buttons welcome!

Added a case fatality rate mode:
https://rys.io/covid/#united-kingdom,netherlands,ireland,norway,honduras,somalia

This is calculated by dividing deaths by a sum of deaths and recoveries. More context:
https://en.wikipedia.org/wiki/Case_fatality_rate

Thanks to @bjarni for inspiration.

Also, cleaned up some names in the interface, and improved legends and the title on the chart to better reflect selected options. And added a button to load 6 sites with the highest case fatality rate.

Fun fact: if all countries did extensive testing of the population and recorded reliable data on confirmed cases, recoveries, and deaths, case fatality rate would reflect how good each country is in their #COVID19 response.

But this is the real world and thus, for example, #UK doesn't seem to record recoveries anymore. Thus, CFR becomes useful to tell which countries do not do a good job recording/reporting the data.

Okay, finally implemented passing chart settings (along with countries/infection sites) in the URL hash:
https://rys.io/covid/#active,delta,average:5;poland,iceland

So you can share a chart along with the settings you used to get it. Wooo!

Also, some bugfixes and cleanups here and there.

Testing welcome, this bit was a bit hairy and I might have introduced some bugs.

Another bugfix. Things should not lock-up if data sources are switched quickly.

And here's a graph for you:
https://rys.io/covid/#active,linear,hundredth;germany,united-states,spain,china,iran,italy

These are 6 countries with most recoveries (cumulative), as of yesterday. Graphing active cases.

Note how everyone apart from the US seems to be either past the peak active case count or very close to it.

In the US it's going to still get worse before it gets better...

@rysiek
recoveries on this one look clearly wrong:
https://rys.io/covid/#poland,czechia

@wolf480pl it does look weird, I wonder if that's in the data. No time right now to check, but if you'd like to dive into the JSON I am fetch()ing and compare to what's on the graph, feel free.

@rysiek Do you know if there's any decent data available von testing rates? Also thanks for the great tool!

@nebby no idea. Haven't seen testing numbers in the John Hopkins University dataset. Are there testing data on the Wikipedia? If so, check where they're getting them from?

@rysiek and their testing is still woefully low

@rysiek Thats a nice one. Thanks, makes it easy to check different stats. 👍

Can you also add the data on number of tests done and per million stats?

@pavi that's sadly not easy, since:

1. the dataset I am using (John Hopkins University data, via pomber/covid19) does not have that data.

2. I have not found a reliable source of that. Wikipedia has it for *some* areas, but not many.

@rysiek i'm not quite sure why we did it for 2 days and then went "actually, why bother?"

but it might have been because the numbers were far from encouraging... and would never be anything else, being even laggier and less reliable than the death toll

@thamesynne well, it is possible to see the active cases curve angling downwards for these countries:
https://rys.io/covid/#germany,australia,austria,iran,france,switzerland

...specifically because we *do have * both deaths and recoveries data. Negative active cases delta is a very good sign, and you won't have that without knowing how many recoveries there were.

@rysiek This is a huge issue so I think it is better to look at total death by country and compare it with a "normal" year or even better a median of normal years.

Deaths has to be reported but not the cause of it. Testing and administration takes a toll on personell resources that may be better used to care for the sick.

Which will show the over-all consequences of the pandemic as not all affected will have covid-19.

@CSB nope.

@rysiek Safari says "SecurityError: Attempt to use history.pushState() more than 100 times per 30 seconds" but it eventually starts working after a shift-refresh.

@mathew huh, interesting why the pushState gets called so often. I'll check that out! Thanks!

That being said, no promises made for Safari. Apple fails to implement some things I am using (like <input type="date">), and I refuse to use polyfills.

@mathew I just pushed a fix for the pushstate thingy, should be way fewer pushstate calls now.

@rysiek I had to look at the code to figure out what the difference was between confirmed and active cases. Looks like the former is positive tests, and the latter is that minus deaths and recoveries.

So it doesn't make sense to graph new active cases, right?

@rysiek "Cumulative active cases" would mean "here is how many people are currently infected and haven't yet resolved". "New active cases" would be... how many people tested positive that day, minus how many people tested negative again? I guess you could look at that as a trend of whether more people are getting sick vs. recovering?

@varx well, "new active cases" should probably be called "active cases delta" or some such.

But it does make sense: it's the meaningful way of measuring whether or not the outbreak is under control.

For example, in Iceland "new active cases" have been negative for a few days. That means that more people recover (or die, but there were barely any deaths in IS) than get diagnosed. Which means we *might* be over the hump here.

@rysiek Makes sense now, thanks.