Seroprevalence and immunity of SARS-CoV-2 infection in children and adolescents in schools in Switzerland: design for a longitudinal, school-based prospective cohort study.
Seroprevalence and immunity of SARS-CoV-2 infection in children and adolescents in schools in Switzerland: design for a longitudinal, school-based prospective cohort study.
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瑞士学校儿童和青少年SARS-COV-2感染的血清阳性和免疫力：设计基于学校的前瞻性队列研究的设计。
DOI：
10.1007/s00038-020-01495-z
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发表时间：
2020-12
影响因子：
4.6
通讯作者：
Kriemler S
中科院分区：
文献类型：
--
作者：
Ulyte A;Radtke T;Abela IA;Haile SR;Braun J;Jung R;Berger C;Trkola A;Fehr J;Puhan MA;Kriemler S
这项纵向队列研究旨在评估严重急性呼吸系统综合征冠状病毒2（SARS-CoV-2）抗体在上学儿童及其父母和学校工作人员中的血清阳性率的程度和模式。它将检查感染的风险因素，血清阳性和症状之间的关系，以及抗体的时间持久性。这项研究（Ciao Corona）将在苏黎世州（18%的瑞士人口居住在那里）随机抽取具有地区代表性的学校样本。邀请5至16岁的小学和中学儿童及其家长和学校工作人员参加。于2020年6月/7月、2020年10月/11月及2021年3月/4月采集静脉血及唾液样本进行血清学检测。每两个月一次的问卷调查将涵盖SARS-CoV-2症状和测试、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解释分析中血清学检测的灵敏度和特异性以及复杂的采样结构，即，聚集在班级和学校里。 这项独特的以学校为基础的研究将有助于描述免疫力的时间趋势，评估预防措施的效果，并在随后的疫情期间为以目标为导向的政策决定提供信息。试验注册ClinicalTrials.gov标识符：NCT 04448717，注册日期：2020年6月26日。https://clinicaltrials.gov/ct2/show/NCT04448717.本文的在线版本（10.1007/s 00038 -020-01495-z）包含补充材料，可供授权用户使用。
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. The online version of this article (10.1007/s00038-020-01495-z) contains supplementary material, which is available to authorized users.
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影响因子：
168.9
作者：
Pollan, Marina;Perez-Gomez, Beatriz;Yotti, Raquel
通讯作者：
Yotti, Raquel
DOI：
10.17269/s41997-020-00396-1
发表时间：
2020-08-07
影响因子：
4.3
作者：
Silverman, Michael;Sibbald, Robert;Stranges, Saverio
通讯作者：
Stranges, Saverio
与传染病的传播相关的社会接触和混合模式。
影响因子：
15.8
作者：
Mossong, Joeel;Hens, Niel;Jit, Mark;Beutels, Philippe;Auranen, Kari;Mikolajczyk, Rafael;Massari, Marco;Salmaso, Stefania;Tomba, Gianpaolo Scalia;Wallinga, Jacco;Heijne, Janneke;Sadkowska-Todys, Malgorzata;Rosinska, Magdalena;Edmunds, W. John
通讯作者：
Edmunds, W. John
影响因子：
4.6
作者：
West EA;Anker D;Amati R;Richard A;Wisniak A;Butty A;Albanese E;Bochud M;Chiolero A;Crivelli L;Cullati S;d'Acremont V;Epure AM;Fehr J;Flahault A;Fornerod L;Frank I;Frei A;Michel G;Gonseth S;Guessous I;Imboden M;Kahlert CR;Kaufmann L;Kohler P;Mösli N;Paris D;Probst-Hensch N;Rodondi N;Stringhini S;Vermes T;Vollrath F;Puhan MA;Corona Immunitas Research Group
通讯作者：
Corona Immunitas Research Group
DOI：
10.1073/pnas.1821298116
发表时间：
2019-07-02
影响因子：
11.1
作者：
Litvinova, Maria;Liu, Quan-Hui;Ajelli, Marco
通讯作者：
Ajelli, Marco