https://github.com/entorb/covid-19-coronavirus-german-regions

COVID-19 Coronavirus Disease Spread Time Series Analysis
https://github.com/entorb/covid-19-coronavirus-german-regions

benachrichtigung coronavirus covid-19 covid-19-data covid-19-germany covid19-tracker divi germany gnuplot hospital landkreise landkreisnewsletter newsletter time-series wirvsvirus2020 wirvsvirushack

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COVID-19 Coronavirus Disease Spread Time Series Analysis

• Host: GitHub
• URL: https://github.com/entorb/covid-19-coronavirus-german-regions
• Owner: entorb
• License: gpl-3.0
• Created: 2020-03-12T20:51:48.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-06-28T12:47:35.000Z (6 months ago)
• Last Synced: 2024-06-28T14:02:39.238Z (6 months ago)
• Topics: benachrichtigung, coronavirus, covid-19, covid-19-data, covid-19-germany, covid19-tracker, divi, germany, gnuplot, hospital, landkreise, landkreisnewsletter, newsletter, time-series, wirvsvirus2020, wirvsvirushack
• Language: Python
• Homepage: https://entorb.net/COVID-19-coronavirus/
• Size: 445 MB
• Stars: 23
• Watchers: 1
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: history-change/history-change-1.sh
  • License: LICENSE

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README

        
# COVID-19 Coronavirus Disease Spread Time Series Analyses for German Regions and Selected Countries

## Historical data backups

* 2022-01-19: I performed a history cleanup and removed data commit history. See backup repo [COVID-19-Coronavirus-German-Regions-OLD-DATA-BACKUP-220119](https://github.com/entorb/COVID-19-Coronavirus-German-Regions-OLD-DATA-BACKUP-220119).

* 2021-06-26: I performed a history cleanup and removed data commit history. See backup repo [COVID-19-Coronavirus-German-Regions-OLD-DATA-BACKUP-210626](https://github.com/entorb/COVID-19-Coronavirus-German-Regions-OLD-DATA-BACKUP-210626).

Here are fetching scripts and resulting data for all charts and reports presented at 

## Scripts

* fetching of updated data

* converting data to common format

* calculating new entities from data

* plotting charts and uploading them to my analyis and report 

* empowering an [interactive country comparison chart](https://entorb.net/COVID-19-coronavirus/#CountriesCustomChart)

* empowering 

* empowering 

Resulting data in JSON and CSV/TSV format can be browsed [here at GitHub](https://github.com/entorb/COVID-19-Coronavirus-German-Regions/tree/master/data).

## Data sources

* [German districts data](https://github.com/entorb/COVID-19-Coronavirus-German-Regions/tree/master/data/de-districts) is from [ArcGIS Covid19_RKI_Sums](https://services7.arcgis.com/mOBPykOjAyBO2ZKk/ArcGIS/rest/services/Covid19_RKI_Sums/FeatureServer/0/)

* [German hospital data](https://github.com/entorb/COVID-19-Coronavirus-German-Regions/tree/master/data/de-divi) is from [DIVI-Intensivregister](https://www.divi.de/register/tagesreport). (Thanks to Mr. Parvu for granting usage permission!)

* [International data](https://github.com/entorb/COVID-19-Coronavirus-German-Regions/tree/master/data/int) is from Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)  obtained via [pomber/covid19](https://github.com/pomber/covid19)

## List of provided/generated data fields

* Date

* Days_Past

* Cases

* Deaths

* Cases_New

* Deaths_New

* Cases_Last_Week

* Deaths_Last_Week

* Cases_Per_Million

* Deaths_Per_Million

* Cases_New_Per_Million

* Deaths_New_Per_Million

* Cases_Last_Week_Per_Million

* Deaths_Last_Week_Per_Million

* Cases_Doubling_Time

* Deaths_Doubling_Time

## Nomenclature of data fields

* New = Difference to previous day

* Last_Week = Difference to 7 days past

* Per_Million = Scaled by 1 Million Population

* Doubling_Time = Derived by fitting data with exp. growth function

## DIVI

For German districts (Landkreise) I additionally fetch and provide a time series of the DIVI Intensivregister hospital occupation.