Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001, Zurich, Switzerland.
Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Int J Public Health. 2020 Dec;65(9):1549-1557. doi: 10.1007/s00038-020-01495-z. Epub 2020 Oct 15.
This longitudinal cohort study aims to assess the extent and patterns of seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in school-attending children, and their parents and school personnel. It will examine risk factors for infection, the relationship between seropositivity and symptoms, and temporal persistence of antibodies.
The study (Ciao Corona) will enroll a regionally representative, random sample of schools in the canton of Zurich, where 18% of the Swiss population live. Children aged 5-16 years, attending primary and secondary schools, and their parents and school personnel are invited. Venous blood and saliva samples are collected for serological testing in June/July 2020, in October/November 2020, and in March/April 2021. Bi-monthly questionnaires will cover SARS-CoV-2 symptoms and tests, health, preventive behavior, and lifestyle information. Hierarchical Bayesian logistic regression models will account for sensitivity and specificity of the serological tests in the analyses and complex sampling structure, i.e., clustering within classes and schools.
This unique school-based study will allow describing temporal trends of immunity, evaluate effects of preventive measures and will inform goal-oriented policy decisions during subsequent outbreaks. Trial registration ClinicalTrials.gov Identifier: NCT04448717, registered June 26, 2020. https://clinicaltrials.gov/ct2/show/NCT04448717 .
本纵向队列研究旨在评估在校儿童及其父母和学校工作人员中严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)抗体的血清阳性率的程度和模式。它将研究感染的危险因素、血清阳性与症状之间的关系以及抗体的时间持久性。
该研究(Ciao Corona)将在瑞士人口 18%居住的苏黎世州抽取具有代表性的、随机的学校区域样本。邀请 5-16 岁的儿童,以及他们的父母和学校工作人员参加。2020 年 6 月/7 月、2020 年 10 月/11 月和 2021 年 3 月/4 月采集静脉血和唾液样本进行血清学检测。双月问卷将涵盖 SARS-CoV-2 症状和检测、健康、预防行为和生活方式信息。分层贝叶斯逻辑回归模型将在分析中考虑血清学检测的敏感性和特异性以及复杂的抽样结构,即班级和学校内的聚类。
这项独特的基于学校的研究将能够描述免疫的时间趋势,评估预防措施的效果,并为随后爆发期间的有针对性的政策决策提供信息。试验注册 临床Trials.gov 标识符:NCT04448717,2020 年 6 月 26 日注册。https://clinicaltrials.gov/ct2/show/NCT04448717。