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The Life with Corona survey.
Wolfgang Stojetz1, Neil T N Ferguson2, Ghassan Baliki3
1ISDC - International Security and Development Center, Auguststr. 89, 10117 Berlin, Germany; Department of Economics, Humboldt University of Berlin, Spandauer Str. 1, 10178 Berlin, Germany.
Social Science & Medicine (1982)
|June 20, 2022
Summary
The COVID-19 pandemic
Area of Science:
- Sociology
- Public Health
- Economics
Background:
- The COVID-19 pandemic presents a global crisis with diverse challenges and impacts.
- Individual experiences and societal effects are heterogeneous across health, economic, social, and political dimensions.
- Existing data often lacks the granularity to analyze micro-level pandemic experiences and countermeasures.
Purpose of the Study:
- To address the need for disaggregated micro-level data on the COVID-19 pandemic.
- To introduce the Life with Corona (LwC) survey dataset.
- To demonstrate the utility of continuous, multi-topic, pan-national survey data linked with other datasets for understanding pandemic dynamics.
Main Methods:
- Development and deployment of the Life with Corona (LwC) survey.
- Collection of continuous, multi-topic, pan-national survey data.
- Matching LwC survey data with external datasets (e.g., disease statistics, countermeasure information).
Main Results:
- The LwC survey provides micro-level data on individual pandemic experiences and behaviors.
- Illustrative analyses showcase the heterogeneity of pandemic impacts and responses.
- The dataset enables longitudinal analysis of how pandemic measures affect lives and societies.
Conclusions:
- Micro-level, multi-disciplinary data is crucial for a nuanced understanding of the COVID-19 pandemic.
- The Life with Corona (LwC) survey is a valuable resource for researchers studying the pandemic's societal impact.
- Continuous data collection and linkage facilitate dynamic analysis of pandemic evolution and policy effectiveness.
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