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加登那谷一般人群中血清抗严重急性呼吸综合征冠状病毒 2 抗体的流行情况及决定因素。

Prevalence and determinants of serum antibodies to SARS-CoV-2 in the general population of the Gardena valley.

机构信息

Institute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.

Laboratorio di Patologia Clinica di Bressanone, Hospital of Bressanone (SABES-ASDAA), Bressanone-Brixen, Italy.

出版信息

Epidemiol Infect. 2021 Aug 3;149:e194. doi: 10.1017/S0950268821001886.

DOI:10.1017/S0950268821001886
PMID:34645534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8387688/
Abstract

Estimating the spread of SARS-CoV-2 infection in communities is critical. We surveyed 2244 stratified random sample community members of the Gardena valley, a winter touristic area, amidst the first expansion phase of the COVID-19 pandemic in Europe. We measured agreement between Diasorin and Abbott serum bioassay outputs and the Abbott optimal discriminant threshold of serum neutralisation titres with recursive receiver operating characteristic curve. We analytically adjusted serum antibody tests for unbiased seroprevalence estimate and analysed the determinants of infection with non-response weighted multiple logistic regression. SARS-CoV-2 seroprevalence was 26.9% (95% CI 25.2-28.6) by June 2020. The bioassays had a modest agreement with each other. At a lower threshold than the manufacturer's recommended level, the Abbott assay reflected greater discrimination of serum neutralisation capacity. Seropositivity was associated with place and economic activity, not with sex or age. Symptoms like fever and weakness were age-dependent. SARS-CoV-2 mitigation strategies should account for context in high prevalence areas.

摘要

估算社区中 SARS-CoV-2 感染的传播情况至关重要。我们调查了加登那谷(一个冬季旅游区)的 2244 名分层随机抽样的社区成员,该地区处于欧洲 COVID-19 大流行的第一波扩张阶段。我们测量了 Diasorin 和 Abbott 血清生物测定结果之间的一致性,以及 Abbott 血清中和效价的最佳判别阈值,使用递归接收者操作特征曲线。我们通过无偏血清流行率估计对血清抗体检测进行了分析性调整,并通过非应答加权多元逻辑回归分析了感染的决定因素。到 2020 年 6 月,SARS-CoV-2 的血清流行率为 26.9%(95%CI 25.2-28.6)。生物测定法彼此之间存在一定程度的一致性。在低于制造商推荐水平的阈值下,Abbott 检测法反映了血清中和能力的更大区分度。血清阳性与地点和经济活动有关,与性别或年龄无关。发烧和乏力等症状与年龄有关。SARS-CoV-2 缓解策略应考虑高流行地区的具体情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/086d07a7054a/S0950268821001886_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/11bc43b0a4c7/S0950268821001886_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/8d92ce22f033/S0950268821001886_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/086d07a7054a/S0950268821001886_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/11bc43b0a4c7/S0950268821001886_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/8d92ce22f033/S0950268821001886_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e1/8387688/086d07a7054a/S0950268821001886_fig3.jpg

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