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Research Data

The ZPID Lockdown Measures Dataset for Germany

Author(s) / Creator(s)

Steinmetz, Holger
Batzdorfer, Veronika
Bosnjak, Michael

Abstract / Description

The outbreak of the COVID-19 pandemic has prompted the German government and the 16 German federal states to announce a variety of public health measures in order to suppress the spread of the coronavirus. These non-pharmaceutical measures intended to curb transmission rates by increasing social distancing (i.e., diminishing interpersonal contacts) which restricts a range of individual behaviors. These measures span moderate recommendations such as physical distancing, up to the closures of shops and bans of gatherings and demonstrations. The implementation of these measures are not only a research goal for themselves but have implications for behavioral research conducted in this time (e.g., in form of potential confounder biases). Hence, longitudinal data that represent the measures can be a fruitful data source. The presented data set contains data on 14 governmental measures across the 16 German federal states. In comparison to existing datasets, the data set at hand is a fine-grained daily time series tracking the effective calendar date, introduction, extension, or phase-out of each respective measure. Based on self-regulation theory, measures were coded whether they did not restrict, partially restricted or fully restricted the respective behavioral pattern. The time frame comprises March 08, 2020 until May 15, 2020. The project is an open-source, ongoing project with planned continued updates in regular (approximately monthly) intervals.

Persistent Identifier

Date of first publication

2020-06-04

Publisher

PsychArchives

Citation

Steinmetz, H., Batzdorfer, V., & Bosnjak, M. (2020). The ZPID Lockdown Measures Dataset for Germany. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.3020
  • 6
    2022-05-16
    Change log 6.0: Update covers 1.07.2021 - 31.10.2021. The coding "fully restricted" for "dist" was changed to reflect legal obligations rather than mere recommendations.
  • 5
    2021-12-08
    Change log 5.0.: Updated as of November 29th, 2021; the update covers the period from 2020-12-01 until 2021-06-03. For most variables "partially restricted" (=1) was changed such that it includes appointment, test or vaccination proof requirements.
  • 4
    2021-01-21
    Change log 4.0.: Updated as of January 21st, 2021; the update covers the period from 2020-09-12 until 2020-11-30. Update includes new variables travel and gastronomy and adjustments to the variables zoo and mask.
  • 3
    2020-09-28
    Updated as of September 25th, 2020; the update covers the period from 2020-06-27 until 2020-09-11
  • 2
    2020-07-15
    Updated as of July 15th, 2020; the update covers the period from 2020-05-15 until 2020-06-26, as well as corrected variables referring to playground, churches, daycare and haircut with respect to the level of restriction of behavior
  • 1
    2020-06-04
  • Author(s) / Creator(s)
    Steinmetz, Holger
  • Author(s) / Creator(s)
    Batzdorfer, Veronika
  • Author(s) / Creator(s)
    Bosnjak, Michael
  • PsychArchives acquisition timestamp
    2020-06-04T10:17:44Z
  • Made available on
    2020-06-04T10:17:44Z
  • Date of first publication
    2020-06-04
  • Abstract / Description
    The outbreak of the COVID-19 pandemic has prompted the German government and the 16 German federal states to announce a variety of public health measures in order to suppress the spread of the coronavirus. These non-pharmaceutical measures intended to curb transmission rates by increasing social distancing (i.e., diminishing interpersonal contacts) which restricts a range of individual behaviors. These measures span moderate recommendations such as physical distancing, up to the closures of shops and bans of gatherings and demonstrations. The implementation of these measures are not only a research goal for themselves but have implications for behavioral research conducted in this time (e.g., in form of potential confounder biases). Hence, longitudinal data that represent the measures can be a fruitful data source. The presented data set contains data on 14 governmental measures across the 16 German federal states. In comparison to existing datasets, the data set at hand is a fine-grained daily time series tracking the effective calendar date, introduction, extension, or phase-out of each respective measure. Based on self-regulation theory, measures were coded whether they did not restrict, partially restricted or fully restricted the respective behavioral pattern. The time frame comprises March 08, 2020 until May 15, 2020. The project is an open-source, ongoing project with planned continued updates in regular (approximately monthly) intervals.
    en
  • Review status
    unknown
    en
  • Citation
    Steinmetz, H., Batzdorfer, V., & Bosnjak, M. (2020). The ZPID Lockdown Measures Dataset for Germany. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.3020
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/2639
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.3020
  • Language of content
    eng
  • Publisher
    PsychArchives
    en
  • Is related to
    https://doi.org/10.23668/psycharchives.3019
  • Dewey Decimal Classification number(s)
    150
  • Title
    The ZPID Lockdown Measures Dataset for Germany
    en
  • DRO type
    researchData
    en
  • Leibniz institute name(s) / abbreviation(s)
    ZPID