COVID-19-Coronavirus-German-Regions

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COVID-19-Coronavirus-German-Regions

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COVID-19 Coronavirus Disease Spread Time Series Analysis

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# 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 <https://entorb.net/COVID-19-coronavirus/>

## 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 <https://entorb.net/COVID-19-coronavirus/>
* empowering an [interactive country comparison chart](https://entorb.net/COVID-19-coronavirus/#CountriesCustomChart)
* empowering <https://covid19-trends.de>
* empowering <https://github.com/pschwede/covid19plots>

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.

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