As a result of the COVID 19 pandemic, a large number of government-imposed measures were introduced in mid-March which restrict a range of individual behaviors. The measures range from recommendations such as social distancing to the closure of shops and the prohibition of meetings and demonstrations. The Federal States of Germany implemented the recommendations in very different ways.
"The mapping of the measures is of great scientific interest - whether as a dedicated research topic, e.g. the role of the measures for human experience and behavior, or as control variables in studies conducted during this period", said Dr. Holger Steinmetz, Head of Big Data at ZPID.
ZPID now presents the scientific community a longitudinal dataset that maps the lockdown measures on a daily basis for individual Federal States. Compared to other existing datasets, this is a day-level time series that tracks the day of introduction, extension, or expiration of the respective measure. The project is an open source project, with updates planned at regular - roughly monthly - intervals.
The dataset is freely accessible here:
The corresponding documentation can be found here: