Closed hongaar closed 4 years ago
I can also look into adding Dutch provinces based on https://github.com/J535D165/CoronaWatchNL.
PS: They have a CI job setup to download and parse data every hour: https://github.com/J535D165/CoronaWatchNL/blob/master/.github/workflows/download.yml I can adapt it for this repo if that's useful?
@hongaar: This looks great -- thank you so much! Would you mind filling out an entry for the Netherlands within populationData.tsv? Without this, the case counts you have kindly provided us won't be loaded as a seperate scenario. Once I have this I'll accept the pull request.
Regarding your second point -- if you can provide provinces that would be great! And we have talked about adding a bot that can pull new data if it's available for this repo for a bit now. If you want to have a go at it, that would be awesome!
We would ideally have cases, deaths, and ICU in one file. The file you currently output only writes ICU patients to file. Is there a comparable source for the other fields? Otherwise this could be merged with the data aggregated by ECDC
We would ideally have cases, deaths, and ICU in one file. The file you currently output only writes ICU patients to file. Is there a comparable source for the other fields? Otherwise this could be merged with the data aggregated by ECDC
Yeah I was not sure how to approach this. The source I added only has ICU data. Does it make sense to pull in more (duplicate?) data into the .tsv
file for The Netherlands, or does the parse_all
script merge it already?
We currently forsee only one .tsv
file per location. So it would be ideal if we could merge this before generating the .tsv
and then funnel all of this into the json.
@rneher added separate sources for cases, deaths and hospitalized to .tsv
.
@nnoll there was already an entry in populationData.tsv
, should I add anything else? Created #47 for the scheduled job.
Added data source for ICU cases for The Netherlands from Stichting NICE: https://www.stichting-nice.nl/. They don't mention any license for the data, this is the description from their website (translated with Google):
My knowledge of Python is very limited. Open to hear how I can improve the script.