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RKI Vaccination Monitoring

⚠️ Currently undergoind refactoring due to major data source change, updating data will be back soon, see #13 for details.

Project to archive and track the state level vaccination data published by the Robert-Koch-Institut daily.

🏗️ A work in progress.

<iframe width="100%" height="584" frameborder="0" src="https://observablehq.com/embed/@n0rdlicht/vaccination-tracker-germany?cell=viewof+geo&cell=viewof+indicator&cell=chart"></iframe>

Experimental visualization: Observable Notebook

The API

A simple Vercel-hosted API is available at api.vaccination-tracker.app/v1/.

A plain request will respond with the full dataset de-vaccinations, paginated with 1000 entries per page.

Resources

Data Package Resources: resources listed in datapackage.json are exposed and can be accesses via

GET https://api.vaccination-tracker.app/v1/<resource-name>

e.g. GET https://api.vaccination-tracker.app/v1/de-vaccinations, currently available sets:

• de-vaccinations: historized data as json
• de-vaccination-current: currently published version as json
• de-population-current: population data from DeStatis

Changelog

• Jan 4, 2021: Adds quote and population fields for comparison between different geo's
• Jan 18, 2021: Complete refactor due to overhauled excel structure and additional data

Pagination

Add page=2 & per_page=100 (defaults: 1 and 1000)

Make sure to adapt these to your type of request.

Filter / Values for de-vaccinations and de-vaccinations-current

By column: <key>=<value>, e.g. ?key=sum&geo=Hamburg to only get summery values for the state of Hamburg

Most columns can be suffixed by _initial and _booster from Jan 18 onward for more detailed values on the initial vaccination as well as the booster shots.

Values for key

• sum: All vaccinations
• sum_initial_biontech / sum_initial_moderna: Number of vaccinations in intial round for respective vaccinations by BioNTech or Moderna
• delta_vortag: Delta to the previous reported day
• quote_initial / quote_booster: rate of vaccination per 100, only on entries with where key is sum
• ind_alter: Indication by age
• ind_med: Indication by medical condition
• ind_prof: Indication by profession
• ind_pflege: Indication by residents of nursing homes

Other filters

• geo: German state name or Germany for national data
• geotype: either state for all states or nation for Germany entries
• population: number of residents in geo
• Note: filtering by date is not supported yet and only available in de-vaccinations

Example

Example request and response for all vaccinations by medical condition and publishing date in the state of Baveria:

twesterhuys@book ~ % curl --request GET 'https://api.vaccination-tracker.app/v1/de-vaccinations?key=ind_med&geo=Bayern'

{
  "dataset": "de-vaccinations",
  "time": "2021-01-04T12:49:20",
  "last_update": "2021-01-03T11:32",
  "last_published": "2021-01-04T11:32",
  "applied_filter": [{
    "geo": "Bayern"
  }, {
    "key": "ind_med"
  }],
  "per_page": 1000,
  "page": 0,
  "data": [{
    "date": "2020-12-27T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 68,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2020-12-28T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 91,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2020-12-29T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 214,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2020-12-30T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 424,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2020-12-31T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 718,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2021-01-01T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 718,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2021-01-02T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 1091,
    "population": 13124737,
    "quote": null
  }, {
    "date": "2021-01-03T00:00:00.000Z",
    "geo": "Bayern",
    "key": "ind_med",
    "iso-cc": "DE",
    "geotype": "state",
    "value": 1280,
    "population": 13124737,
    "quote": null
  }]
}

The Data Package

1. Daily GitHub Action running a Frictionless Data Package Pipeline as defined in pipeline-spec.yaml. Currently run manually, to be automated based on changes to RKI website
2. Resulting in a combined CSV and current day CSV
3. Metadata and validation can be done via data validate on datapackage.json
4. D3.js visualization of data

Updating the data

Either trigger the GitHub action "Update Data Package" or run locally

# Get the code
git clone https://github.com/n0rdlicht/rki-vaccination-scraper.git
cd rki-vaccination-scraper

# Activate a virtual environment and install dependencies
virtualenv env
. env/bin/activate
pip install -Ur requirements.txt

# Run all pipelines
make

# or
make update # Fetch and merge todays data with existing data

# Validate Data Package (requires goodtables)
make validate

# To deactivate virtual environment
deactivate