Beatriz Pérez-Gómez, Roberto Pastor-Barriuso, Nerea Fernández-de-Larrea, Pablo Fernández-Navarro, and Marina Pollán are with the National Centre for Epidemiology and the Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. Miguel A. Hernán is with the Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA. Mayte Pérez-Olmeda, Jesús Oteo-Iglesias, and Aurora Fernández-García are with the National Centre for Microbiology and the Consortium for Biomedical Research in Infectious Diseases (CIBERINFEC), ISCIII. Mariano Martín, José L. Sanmartín, Juan F. Muñoz-Montalvo, and Faustino Blanco are with the Deputy Directorate of Information Technologies, Ministry of Health, Madrid, Spain. Israel Cruz is with the National School of Public Health, ISCIII. José León-Paniagua and Raquel Yotti are with ISCIII.
Am J Public Health. 2023 May;113(5):533-544. doi: 10.2105/AJPH.2023.307233. Epub 2023 Mar 9.
To describe participant characteristics associated with severe acute respiratory syndrome coronavirus 2 infection in Spain's first 2 COVID-19 waves per the Spanish National Seroepidemiological Survey of SARS-CoV-2 Infection (ENE-COVID). A representative cohort of the noninstitutionalized Spanish population, selected through stratified 2-stage sampling, answered a questionnaire and received point-of-care testing April to June 2020 (first wave: n = 68 287); previously seronegative participants repeated the questionnaire and test November 2020 (second wave: n = 44 451). We estimated seropositivity by wave and participant characteristics, accounting for sampling weights, nonresponse, and design effects. We found that 6.0% (95% confidence interval [CI] = 5.7%, 6.4%) of Spain's population was infected by June and 3.8% (95% CI = 3.5%, 4.1%) more by November 2020. Both genders were equally affected. Seroprevalence decreased with age in adults 20 years and older in the second wave; socioeconomic differences increased. Health care workers were affected at 11.1% (95% CI = 9.0%, 13.6%) and 6.1% (95% CI = 4.4%, 8.5%) in the first and second waves, respectively. Living with an infected person increased infection risk to 22.1% (95% CI = 18.9%, 25.6%) in the first and 35.0% (95% CI = 30.8%, 39.4%) in the second wave. ENE-COVID characterized the first 2 pandemic waves, when information from surveillance systems was incomplete. (. 2023;113(5):533-544. https://doi.org/10.2105/AJPH.2023.307233).
描述西班牙首次 COVID-19 浪潮中与严重急性呼吸综合征冠状病毒 2 感染相关的参与者特征,该特征来自西班牙全国 SARS-CoV-2 感染血清流行病学调查(ENE-COVID)。通过分层两阶段抽样选择的非住院西班牙人口代表性队列回答了一份问卷并接受了即时检测,时间为 2020 年 4 月至 6 月(第一波:n=68287);先前血清阴性的参与者于 2020 年 11 月重复了问卷和测试(第二波:n=44451)。我们根据波次和参与者特征估计血清阳性率,同时考虑了抽样权重、无应答和设计效果。我们发现,到 2020 年 6 月,西班牙有 6.0%(95%置信区间 [CI] = 5.7%,6.4%)的人口感染,到 2020 年 11 月,又有 3.8%(95% CI = 3.5%,4.1%)感染。两性均受到同等影响。在年龄为 20 岁及以上的成年人中,第二波次的血清阳性率随年龄下降;社会经济差异增加。在第一波和第二波中,医护人员分别受到 11.1%(95% CI = 9.0%,13.6%)和 6.1%(95% CI = 4.4%,8.5%)的影响。与感染者同住会增加感染风险,第一波为 22.1%(95% CI = 18.9%,25.6%),第二波为 35.0%(95% CI = 30.8%,39.4%)。ENE-COVID 描述了首次两次大流行浪潮,当时监测系统的信息不完整。(2023 年;113(5):533-544. https://doi.org/10.2105/AJPH.2023.307233)。