4.6 Article

Design and Implementation of a Nationwide Population-Based Longitudinal Survey of SARS-CoV-2 Infection in Spain: The ENE-COVID Study

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AMERICAN JOURNAL OF PUBLIC HEALTH
卷 113, 期 5, 页码 525-532

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AMER PUBLIC HEALTH ASSOC INC
DOI: 10.2105/AJPH.2022.307167

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The ENE-COVID, funded by the Spanish Ministry of Health, the Instituto de Salud Carlos III, and the Spanish National Health System, conducted a nationwide seroepidemiological survey of SARS-CoV-2. The survey used a stratified 2-stage probability sampling to collect longitudinal data from epidemiological questionnaires and antibody tests. The study provides accurate figures on the seroprevalence and risk factors of COVID-19 at national and regional levels.
Data System. The Spanish National Seroepidemiological Survey of SARS-CoV-2 (or ENE-COVID; SARS-CoV-2 [severe acute respiratory syndrome coronavirus 2] is the causative agent of COVID-19) was funded by the Spanish Ministry of Health, the Instituto de Salud Carlos III, and the Spanish National Health System. Data Collection/Processing. A stratified 2-stage probability sampling was used to select a representative cohort of the noninstitutionalized population of Spain. ENE-COVID collected longitudinal data from epidemiological questionnaires and 2 SARS-CoV-2 IgG antibody tests. From April 27 to June 22, 2020, 68 287 participants (77.0% of contacted persons) received a point-of-care test and 61 095 (68.9%) also underwent a laboratory immunoassay. A second follow-up phase was conducted between November 16 and 30, 2020. Data Analysis/Dissemination. Analyses use weights to adjust for oversampling and nonresponse and account for design effects of stratification and clustering. ENE-COVID data for research purposes will be available upon request from the official study Web page. Public Health Implications. ENE-COVID, a nationwide population-based study, allowed monitoring seroprevalence of antibodies against SARS-CoV-2 at the national and regional levels, providing accurate figures by gender, age (from babies to nonagenarians), and selected risk factors; characterizing symptomatic and asymptomatic infections; and estimating the infection fatality risk during the first pandemic wave.

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