综合征监测跟踪大学和县设置中的COVID-19病例:回顾性观察研究
Lily Minh Wass1, Derek O'Keeffe Hoare2, Georgia Elena Smits2
1Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
JMIR public health and surveillance
|July 2, 2024
概括
针对COVID-19类疾病 (CLI) 的综合征监测可以补充测试,提供实时数据. 这种方法作为COVID-19病例的领先指标,使得迅速干预能够制传播.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 传染病监测 传染病监测 传染病
背景情况:
- 综合征监测为传统的基于测试的COVID-19监测提供了具有成本效益的补充.
- 监测COVID-19类疾病 (CLI) 可以促进及时干预,防止疫情爆发,而不仅仅依赖测试.
研究的目的:
- 评估确认的SARS-CoV-2感染和报告的CLI之间的时间关系.
- 评估综合征监测在大学和县环境中的有用性.
主要方法:
- 利用来自大学 (2020-2021) 和县卫生部门 (2020-2022) 的综合COVID-19测试和症状数据.
- 采用负双项和线性回归模型,将CLI率与COVID-19测试阳性和病例数量相关联.
- 使用格兰杰因果关系和概率比测试确定了最佳滞后期.
主要成果:
- 在大学校园里,CLI率与COVID-19测试阳性相关,没有滞后.
- 在县级,医疗保健提供者报告的CLI是主要指标,与SARS-CoV-2测试阳性与3天滞后相关.
结论:
- 综合征监测,特别是症状报告,是COVID-19测试实时监测的可行补充.
- 县级综合征监测作为主要指标,使得迅速的公共卫生行动成为可能.
- 建议在不同的环境中对综合征监测进行进一步的研究,包括低资源国家.
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