Paul Elliott, Matthew Whitaker, David Tang, Oliver Eales, Barbara Bodinier, Haowei Wang, Christina Atchison, Deborah Ashby, Helen Ward, and Marc Chadeu-Hyam are with the School of Public Health, Imperial College London, UK. Nicholas Steyn and Christl A. Donnelly are with the Department of Statistics, University of Oxford, Oxford, UK. Joshua Elliott is with the Imperial College Healthcare NHS Trust, London. Ara Darzi is with the Institute of Global Health Innovation, Imperial College London. Wendy Barclay, Graham Taylor, and Graham S. Cooke are with the Department of Infectious Disease, Imperial College London.
Am J Public Health. 2023 May;113(5):545-554. doi: 10.2105/AJPH.2023.307230. Epub 2023 Mar 9.
The REal-time Assessment of Community Transmission-1 (REACT-1) Study was funded by the Department of Health and Social Care in England to provide reliable and timely estimates of prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection over time, by person and place. The study team (researchers from Imperial College London and its logistics partner Ipsos) wrote to named individuals aged 5 years and older in random cross-sections of the population of England, using the National Health Service list of patients registered with a general practitioner (near-universal coverage) as a sampling frame. We collected data over 2 to 3 weeks approximately every month across 19 rounds of data collection from May 1, 2020, to March 31, 2022. We have disseminated the data and study materials widely via the study Web site, preprints, publications in peer-reviewed journals, and the media. We make available data tabulations, suitably anonymized to protect participant confidentiality, on request to the study's data access committee. The study provided inter alia real-time data on SARS-CoV-2 prevalence over time, by area, and by sociodemographic variables; estimates of vaccine effectiveness; and symptom profiles, and detected emergence of new variants based on viral genome sequencing. ( 2023;113(5):545-554. https://doi.org/10.2105/AJPH.2023.307230).
REACT-1 研究由英国卫生部和社会保障部资助,旨在通过人群和地点为严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染的流行率提供可靠和及时的估计。研究团队(来自伦敦帝国理工学院及其物流合作伙伴益普索的研究人员)使用国民保健系统(NHS)中登记的全科医生患者名单(近乎全覆盖)作为抽样框架,向英格兰随机人群的 5 岁及以上指定个体写信。我们在 2020 年 5 月 1 日至 2022 年 3 月 31 日期间,通过 19 轮数据收集,大约每两个月收集 2 到 3 周的数据。我们通过研究网站、预印本、同行评议期刊上的出版物和媒体广泛传播数据和研究材料。我们根据请求向研究的数据访问委员会提供数据制表,适当匿名以保护参与者的隐私。该研究提供了 SARS-CoV-2 流行率随时间、地区和社会人口变量的实时数据;疫苗有效性的估计;症状特征,并根据病毒基因组测序检测到新变体的出现。(2023;113(5):545-554. https://doi.org/10.2105/AJPH.2023.307230)。