关于COVID-19隔离实践的国家,基于概率的小组调查的代表性-美国,2020-2022年
Holly H Matulewicz1, Divya Vohra1, Willow Crawford-Crudell1
1Mathematica, Cambridge, MA, United States.
Frontiers in epidemiology
|May 13, 2024
概括
这项研究使用在线调查来跟踪COVID-19 (SARS-CoV-2) 传播行为进行了验证. 调查数据与美国疾病控制和预防中心 (CDC) 的病例数量密切匹配,证实了它们对公共卫生洞察力的可靠性.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 行为科学 行为科学
背景情况:
- 美国疾病控制和预防中心 (CDC) 收集SARS-CoV-2 (COVID-19) 病例数据,但缺乏关于个人传播缓解行为的详细信息.
- 了解这些行为对于有效的公共卫生策略至关重要.
- 在线面板调查提供了一个收集这些行为数据的潜在方法.
研究的目的:
- 评估基于概率的在线调查对捕获COVID-19 (SARS-CoV-2) 病例数量的可靠性.
- 为了确定调查数据是否与疾病预防控制中心的官方监测数据一致.
- 为了评估调查样本的代表性.
主要方法:
- 在全国代表的美国成年人小组中进行了一项基于概率的在线调查.
- 在SARS-CoV-2检测结果呈阳性后,收集了个人行为数据.
- 从调查中比较的每月COVID-19病例数量与综合的CDC监测数据 (2020年3月至2022年3月).
主要成果:
- 在调查数据和CDC每月病例计数之间发现了高正相关性 (r = +0.94,p < 0.05).
- 即使被人口特征分层,相关性仍然很强.
- 调查结果表明,调查样本准确地反映了报告的COVID-19病例.
结论:
- 基于概率的在线面板调查是估计COVID-19 (SARS-CoV-2) 病例数量的可靠工具.
- 这种方法可以有效地补充官方监测数据.
- 经过验证的调查方法可以为与传播缓解有关的公共卫生决策提供信息.
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