什么驱使受访者参加血清流行病学调查? 从COVID-19的见解和对未来的流行病的影响
Sophearen Ith1,2, Ryo Kinoshita1, Sho Miyamoto1
1Japan Institute for Health Security.
Journal of epidemiology
|August 3, 2025
概括
参与COVID-19血清流行病学调查受到社会人口统计因素和疫苗接种态度的影响. 解决非响应偏差对于准确的流行病传播估计至关重要.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 在血清流行病学调查中非随机参与可能会损害代表性.
- 了解影响参与的因素对于在流行病期间准确估计疾病传播至关重要.
- 这些调查中的非响应偏差需要进一步的调查和缓解策略.
研究的目的:
- 检查影响参与国家COVID-19血清流行病学调查的社会人口统计特征.
- 确定影响参与血清流行病学调查的COVID-19相关因素.
- 为改善未来公共卫生调查的代表性提供见解.
主要方法:
- 在日本进行的国家COVID-19血清流行病学调查的数据分析 (2022年12月至2023年3月).
- 使用多变量逻辑回归分析来确定与调查参与相关的因素.
- 使用集团最小绝对收缩和选择运营商 (LASSO) 方法进行了变量选择.
主要成果:
- 更高的参与率与女性,更大的家庭规模,更高的教育水平和更高的家庭收入有关.
- 在犹于接种疫苗的个人和那些在接触者中感知到更高的COVID-19阳性率的人群中观察到更低的参与率.
- 在社会人口统计学因素和COVID-19相关的看法和调查参与之间发现了显著的关联.
结论:
- 社会人口统计学变量 (教育,收入,家庭规模,性别) 和COVID-19相关因素 (接种疫苗的意愿,感知感染风险) 显著影响参与血清流行病学调查.
- 这项研究强调了在此类调查中解决非响应偏差的必要性.
- 建议采用加权方法,如反向概率加权,以提高发现的准确性.
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