ncov19-datapoints / ncov19-datapoints.github.io Goto Github PK

While the "source" link itself works, it is impossible to click on it because the info pane is changed whenever the mouse cursor changes position. Doh!

Mobile view works, but the info pane and the legend cover half of the screen! They need to be collapsed or something...

That would be nice!

It is currently very barebones.... ;-)

Those will be really interesting to watch. What happens if live if returned to normal after a shutdown?

Either scrape or hopefully the RKI will publish a machine readable list on Landkreis level some time...

The function needs plausibility checks etc to make it possible to figure out if a build.py script does the right thing.

Obviously there is also a lot of room to improve the general structure of the Python scripts (i. e. buildhelpers could import the individual build.py scripts and execute a set of functions).

Not quite sure if there is anything we can do about that, but quite a few of the regions reported in the English data set have close to a million people in them, obscuring any hot spots.

• Add complete world map using JHU data.

• Use more detailed data where available.

• Use topojson insteead of geojson for the necessary map

• What to do if the detailed data is only available for some parts and not at all for other?

• What to do if the data for the parts is older/newer than the data for the whole?

• What to do if the data for the parts is inconsistent with the data for the whole?

• First solution: ignore any inconsistencies, display all detailed data which is available on top of the summary data (or better: use the summary data to fill out all the missing parts of the more detailed data).

The US will most certainly be one of the most interesting cases to watch and learn from.

Interesting link which might yield the necessary data:
https://github.com/lazd/coronadatascraper

Note: it might be wise to do some sort of fallback solution depending how much data is available: state-based data (available from the JHU github page) if nothing with smaller granularity is available.

https://github.com/gka/chroma.js

To indicate stale data, put a dashed pattern over regions older than 24 hours

Interesting because it looks like the infection went through it from Northern Italy to south-east France.

Also might be another example like South Korea of a country getting the stuff under control.

Data can be scraped here: https://www.bag.admin.ch/bag/de/home/krankheiten/ausbrueche-epidemien-pandemien/aktuelle-ausbrueche-epidemien/novel-cov/situation-schweiz-und-international.html

In a couple of weeks we'd only want to display active cases in the primary map. Another map with the total or recovered cases might still be interesting - which could be displayed as the % of the population still susceptible to an infection.

Unfortunately Spain looks like it might develop on similar lines as Italy. Which makes the map useful.

It would be nice to see totals for larger regions - can we do that somehow?

Austria has been started, but the data source is a HTML page and scraping is work!

Cause departements are fine resolution but regions are more current. Also as a comparison this might be good.

For a lot of countries we can assume that the number of deaths by infection with nCov-19 is a fairly accurate reflection of the actual situation.

However we cannot assume the same for the number of reported confirmed cases - coverage here clearly wildly differs between different countries, e. g. compare South Korea and Italy.

The number of reported deaths however gives a very rough idea about the number of actual cases around 12 days ago (the rough average time between infection and death, if death occurs, need to find the paper with that number again). Assuming a mortality rate of about 2% (as long as the health system is not overwhelmed that seems still high), we can make a back-of-the-envelope estimate, that 12 days ago, the number of actual infected people (+recovered people) was about 50 times the number of dead people until today.

If you take that simple measuring stick to Italy (or actually quite a lot of other countries), it is obvious that only a fraction of the actual cases have been diagnosed and reported as confirmed cases.

It would be nice to translate into some sort of confidence measure displayed on the map. Probably better not to use numbers, because this is all just an educated guess, but as a plausibility check it can inform people if the map reflects the actual situation on the ground.