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利用自我检测监测英格兰地区 SARS-CoV-2 IgG 抗体流行率的国家项目的设计与实施:REACT-2 研究。

Design and Implementation of a National Program to Monitor the Prevalence of SARS-CoV-2 IgG Antibodies in England Using Self-Testing: The REACT-2 Study.

机构信息

Helen Ward, Christina Atchison, Matthew Whitaker, Bethan Davies, Deborah Ashby, Marc Chadeau-Hyam, Steven Riley, and Paul Elliott are with the School of Public Health, Imperial College London, UK. Ara Darzi is with the Institute of Global Health Innovation, Imperial College London. Christl A. Donnelly is with the Department of Statistics, University of Oxford, Oxford, UK. Wendy Barclay and Graham S. Cooke are with the Department of Infectious Disease, Imperial College London.

出版信息

Am J Public Health. 2023 Nov;113(11):1201-1209. doi: 10.2105/AJPH.2023.307381. Epub 2023 Sep 21.

DOI:10.2105/AJPH.2023.307381
PMID:37733993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10568505/
Abstract

The UK Department of Health and Social Care funded the REal-time Assessment of Community Transmission-2 (REACT-2) study to estimate community prevalence of SARS-CoV-2 IgG (immunoglobulin G) antibodies in England. We obtained random cross-sectional samples of adults from the National Health Service (NHS) patient list (near-universal coverage). We sent participants a lateral flow immunoassay (LFIA) self-test, and they reported the result online. Overall, 905 991 tests were performed (28.9% response) over 6 rounds of data collection (June 2020-May 2021). We produced weighted estimates of LFIA test positivity (validated against neutralizing antibodies), adjusted for test performance, at local, regional, and national levels and by age, sex, and ethnic group and area-level deprivation score. In each round, fieldwork occurred over 2 weeks, with results reported to policymakers the following week. We disseminated results as preprints and peer-reviewed journal publications. REACT-2 estimated the scale and variation in antibody prevalence over time. Community self-testing and -reporting produced rapid insights into the changing course of the pandemic and the impact of vaccine rollout, with implications for future surveillance. ( 2023;113(11):1201-1209. https://doi.org/10.2105/AJPH.2023.307381).

摘要

英国卫生部和社会保障部资助了实时评估社区传播-2(REACT-2)研究,以估计英格兰社区中 SARS-CoV-2 IgG(免疫球蛋白 G)抗体的流行率。我们从国民保健制度(NHS)患者名单中随机抽取了成年横断面样本(几乎涵盖所有人群)。我们向参与者发送了侧向流动免疫测定(LFIA)自检,他们在线报告结果。在 6 轮数据收集(2020 年 6 月至 2021 年 5 月)中,共进行了 905991 次测试(28.9%的响应率)。我们根据中和抗体对 LFIA 测试阳性率进行了加权估计(经过测试性能调整),并按地区、区域和国家以及年龄、性别和族裔群体以及地区贫困评分进行了调整。在每一轮中,实地工作持续两周,结果在下周报告给政策制定者。我们通过预印本和同行评审期刊出版物传播结果。REACT-2 估计了抗体流行率随时间的规模和变化。社区自我检测和报告迅速洞察了大流行的变化过程和疫苗推出的影响,对未来的监测具有重要意义。(2023;113(11):1201-1209. https://doi.org/10.2105/AJPH.2023.307381)。

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本文引用的文献

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Validity of Self-testing at Home With Rapid Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Detection by Lateral Flow Immunoassay.家用快速严重急性呼吸综合征冠状病毒 2 抗体侧向流动免疫检测的有效性。
Clin Infect Dis. 2023 Feb 18;76(4):658-666. doi: 10.1093/cid/ciac629.
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Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies.机器学习助力居家新冠病毒抗体侧向流动免疫分析自测结果的视觉审核
Commun Med (Lond). 2022 Jul 6;2:78. doi: 10.1038/s43856-022-00146-z. eCollection 2022.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody lateral flow assay for antibody prevalence studies following vaccination: a diagnostic accuracy study.用于疫苗接种后抗体流行率研究的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)抗体侧向流动检测:一项诊断准确性研究。
Wellcome Open Res. 2022 May 26;6:358. doi: 10.12688/wellcomeopenres.17231.2. eCollection 2021.
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