High Community SARS-CoV-2 Antibody Seroprevalence in a Ski Resort Community, Blaine County, Idaho, US. Preliminary Results

التفاصيل البيبلوغرافية
العنوان: High Community SARS-CoV-2 Antibody Seroprevalence in a Ski Resort Community, Blaine County, Idaho, US. Preliminary Results
المؤلفون: Emily L Bossard, Khamsone Phasouk, Anton M Sholukh, Alexis M Hlock, William L McLaughlin, Terry OConnor, Kathryn T. Morrison, Colleen McLaughlin, Keith R. Jerome, Emily S Ford, Margaret K. Doll, Kurt Diem, Lawrence Corey
المصدر: medRxiv
article-version (status) pre
article-version (number) 1
بيانات النشر: Cold Spring Harbor Laboratory, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Selection bias, education.field_of_study, Disease surveillance, biology, business.industry, media_common.quotation_subject, Population, Article, Serology, Herd immunity, biology.protein, Seroprevalence, Medicine, Antibody, education, business, media_common, Demography, Ski resort
الوصف: Community-level seroprevalence surveys are needed to determine the proportion of the population with previous SARS-CoV-2 infection, a necessary component of COVID-19 disease surveillance. In May, 2020, we conducted a cross-sectional seroprevalence study of IgG antibodies for nucleocapsid of SARS-CoV-2 among the residents of Blaine County, Idaho, a ski resort community with high COVID-19 attack rates in late March and Early April (2.9% for ages 18 and older). Participants were selected from volunteers who registered via a secure web link, using prestratification weighting to the population distribution by age and gender within each ZIP Code. Participants completed a survey reporting their demographics and symptoms; 88% of volunteers who were invited to participate completed data collection survey and had 10 ml of blood drawn. Serology was completed via the Abbott Architect SARS-CoV-2 IgG immunoassay. Primary analyses estimated seroprevalence and 95% credible intervals (CI) using a hierarchical Bayesian framework to account for diagnostic uncertainty. Stratified models were run by age, sex, ZIP Code, ethnicity, employment status, and a priori participant-reported COVID-19 status. Sensitivity analyses to estimate seroprevalence included base models with post-stratification for ethnicity, age, and sex, with or without adjustment for multi-participant households. IgG antibodies to the virus that causes COVID-19 were found among 22.7% (95% CI: 20.1%, 25.5%) of residents of Blaine County. Higher levels of antibodies were found among residents of the City of Ketchum 34.8% (95% CI 29.3%, 40.5%), compared to Hailey 16.8% (95%CI 13.7%, 20.3%) and Sun Valley 19.4% (95% 11.8%, 28.4%). People who self-identified as not believing they had COVID-19 had the lowest prevalence 4.8% (95% CI 2.3%, 8.2%). The range of seroprevalence after correction for potential selection bias was 21.9% to 24.2%. This study suggests more than 80% of SARS-CoV-2 infections were not reported. Although Blaine County had high levels of SARS-CoV-2 infection, the community is not yet near the herd immunity threshold.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27dd317376d6682fe92692e6a7a2e456
https://doi.org/10.1101/2020.07.19.20157198
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....27dd317376d6682fe92692e6a7a2e456
قاعدة البيانات: OpenAIRE