chrmarti / covid_19

COVID19 case numbers Cantons of Switzerland and Principality of Liechtenstein (FL) - case numbers include persons tested in the respective area. The data is updated at best once a day (times of collection and update may vary). Start with the README.

SARS-CoV-2 Cases communicated by Swiss Cantons and Principality of Liechtenstein (FL)

We are providing a common official OGD dataset of SARS-CoV-2 case numbers, which are communicated by official Swiss canton's (26 cantons, abbreviations see below) and Principality of Liechtenstein's (abbreviation: FL) sources.

The infection rates refer to the infection with SARS-CoV-2, whereas the disease caused by the virus is called Covid-19.

We are providing SARS-CoV-2 case numbers in machine-readable form (CSV) as OGD resources (Open Government Data), that have been published by official sources (Cantons and FL) online. Sources are specified with the respective URL(s).

Case numbers include persons tested and treated in the respective Canton resp. Principality of Liechtenstein. Important: Since 09.03.2020, only persons who meet certain test criteria are tested (see e.g. with the Canton of Zurich "Testkriterien" at www.gd.zh.ch/coronavirus).

The data is updated regularly - if available daily. Times of collection and update of the data may vary. We are specifying the date of the last reporting, and - if available - a time-stamp, too.

The data is both automatically and manually updated, and regularly checked. We are performing three times a day complete manual updates and verifications; these "roundtrips" are starting at 8am, 2pm and 8pm. They are usally completed within 60 minutes.

There is a merged file of all Cantons and FL that is automatically updated for use in data analysis.

You can get started exploring the data with visualise.ipynb (run it in your browser).

We are available to advise and support interested authorities, how to easily complete both historized data, and missing columns. You can reach us:

• https://twitter.com/OpenDataZH (follow us, we send you a private Direct Message, thanks!)
• mailto:[email protected]

Data Updates

--> Check our status dashboard with the latest data updates

Cantonal / FL data ressources

Canton / FL	updated by	data historized
FL	manually	yes
AG	scraping	yes
AI	manually	yes
AR	scraping	yes
BE	scraping	yes
BL	scraping	yes
BS	manually	yes
FR	manually	yes
GE	manually	no
GL	manually	no
GR	scraping	no
JU	scraping	no
LU	scraping	no
NE	scraping	no
NW	scraping	no
OW		no
SG	scraping	yes
SH	scraping	no
SO	scraping	yes
SZ	manually	no
TG	scraping	no
TI	manually	yes
UR	scraping	yes
VD	manually	yes
VS	scraping	yes
ZG	scraping	no
ZH	manually	yes

Data structure

The data of the Cantonal case numbers is structured as follows:

example-file

Field Name	Description	Format
date	Date of notification	YYYY-MM-DD
time	Time of notification	HH:MM
abbreviation_canton_and_fl	Abbreviation of the reporting canton	Text
ncumul_tested	Reported number of tests performed as of date	Number
ncumul_conf	Reported number of confirmed cases as of date	Number
ncumul_hosp *	Reported number of hospitalised patients on date	Number
ncumul_ICU *	Reported number of hospitalised patients in ICUs on date	Number
ncumul_vent *	Reported number of patients requiring ventilation on date	Number
ncumul_released	Reported number of patients released from hospitals or reported recovered as of date	Number
ncumul_deceased	Reported number of deceased as of date	Number
source	Source of the information	href

*These variables reflect current, not cumulative numbers, even if the prefix in the column-name might suggest otherwise. Column names will not be changed to grant stability.

The Data for Genevé contains an additional column reporting the number of currently intubated patients. This column will be integrated into all files shortly.

Field Name	Description	Format
ninstant_ICU_intub	Reported number of patients requiring intubation on date	Number

Community Contributions

Visualization of Swiss and Cantonal Case Numbers over Time

• https://rsalzer.github.io/COVID_19_CH/
• https://rsalzer.github.io/COVID_19_KT_ZH/
  Robert Salzer on Twitter: https://twitter.com/rob_salzer

Operations Dashboard

• https://covid19.ddrobotec.com/ github-repo
  Zeno Davatz on Twitter: https://twitter.com/zdavatz

corona-data.ch

• https://www.corona-data.ch/ github-repo
  Daniel Probst on Twitter: https://twitter.com/skepteis?lang=de

• https://github.com/opendatabs/covid_19
  Open Government Data Basel-Stadt on Twitter: https://twitter.com/OpenDataBS

REST-API

• https://covid19-rest.herokuapp.com
• github-repo
  Andreas Pfeuti

Many thanks for the great work!