Survey data collection during the COVID-19 pandemic in Germany: Recommendations for an improved data collection infrastructure

The COVID-19 pandemic created a high demand for rapid data collection while also posing major challenges to collecting timely, high-quality population survey data on public health, and health-related behavior and attitudes. In the Survey Data Collection during the COVID-19 Pandemic (SDCCP) project, we examined how data collection standards evolved during the pandemic and what challenges the national survey infrastructure in Germany was facing. Our findings revealed trade-offs between speed and data quality and a lack of preparedness for rapid data collection. Existing surveys struggled to remain operational and maintain their high standards, whereas newly established surveys were more likely to implement survey designs associated with lower data quality. In this policy comment, we recommend targeted investments in methodological research, operational nationwide emergency planning, and policy changes to support closer collaboration between survey infrastructures.

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Publication Details

Journal
Health Policy
Published
2025-12-20
DOI
https://doi.org/10.1016/j.healthpol.2025.105551
Primary Topic
Survey Methodology and Nonresponse
Type
article
Field-Weighted Citation Impact
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article

Survey data collection during the COVID-19 pandemic in Germany: Recommendations for an improved data collection infrastructure

Elias Naumann, Sophia Piesch, Thomas Skora, Tobias Gummer et al.
Health Policy
Survey Methodology and Nonresponse
article

Survey data collection during the COVID-19 pandemic in Germany: Recommendations for an improved data collection infrastructure

Elias Naumann, Sophia Piesch, Thomas Skora, Tobias Gummer, Karolina von Glasenapp, Saskia Bartholomäus
article en

Abstract

The COVID-19 pandemic created a high demand for rapid data collection while also posing major challenges to collecting timely, high-quality population survey data on public health, and health-related behavior and attitudes. In the Survey Data Collection during the COVID-19 Pandemic (SDCCP) project, we examined how data collection standards evolved during the pandemic and what challenges the national survey infrastructure in Germany was facing. Our findings revealed trade-offs between speed and data quality and a lack of preparedness for rapid data collection. Existing surveys struggled to remain operational and maintain their high standards, whereas newly established surveys were more likely to implement survey designs associated with lower data quality. In this policy comment, we recommend targeted investments in methodological research, operational nationwide emergency planning, and policy changes to support closer collaboration between survey infrastructures.

Health PolicyVol. 165
University of Mannheim (DE), Heidelberg University (DE), GESIS - Leibniz Institute for the Social Sciences (DE)
Openalex Percentile: Top 49%
Survey Methodology and Nonresponse
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