德国COVID-19大流行期间调查数据收集:改善数据收集基础设施的建议
Tobias Gummer1, Karolina von Glasenapp2, Thomas Skora2
1GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany; Heidelberg University, Heidelberg, Germany.
Health policy (Amsterdam, Netherlands)
|December 25, 2025
概括
随着COVID-19的流行,人们面临着及时,高质量的调查数据收集的挑战. 调查结果显示,速度和数据质量之间存在权衡,建议对调查基础设施的研究,规划和协作进行投资.
科学领域:
- 公共卫生 公共卫生
- 调查方法 调查方法
- 卫生政策 卫生政策
背景情况:
- 随着COVID-19的流行,人们对快速公众健康数据的需求增加了.
- 它同时挑战了及时收集高质量的人口调查数据的挑战.
- 现有的国家调查基础设施面临运营和质量维护问题.
研究的目的:
- 检查疫情期间不断变化的数据收集标准.
- 确定德国国家调查基础设施面临的挑战.
- 为未来应对危机的政策建议提供信息.
主要方法:
- 在COVID-19大流行期间分析数据收集标准和运营挑战.
- 在COVID-19流行病 (SDCCP) 项目期间调查数据收集的审查.
- 评估数据收集速度和质量之间的权衡.
主要成果:
- 在数据收集速度和质量之间存在着重要的权衡.
- 国家调查基础设施对快速数据收集缺乏准备.
- 现有的调查很难维持标准,而新的调查采用了质量较低的设计.
结论:
- 对方法研究进行有针对性的投资至关重要.
- 需要对调查进行全国性的紧急计划.
- 建议改变政策,支持调查基础设施之间的协作.
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