COVID-19パンデミック下のドイツにおける調査データ収集:改善されたデータ収集インフラストラクチャのための推奨事項
Tobias Gummer1, Karolina von Glasenapp2, Thomas Skora2
1GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany; Heidelberg University, Heidelberg, Germany.
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.
関連する概念動画
Surveys
Data Collection by Survey
Survey Safety
Principles of Disease Surveillance
Types of Surveys
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