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新冠病毒抗体检测:统计学意义

COVID-19 antibody tests: statistical implications.

作者信息

Kankam Hadyn Kn, Hourston George Jm, Ravindran Pahalavi, Azhar Bilal, Pope Cassie

机构信息

Department of Surgery, Colchester Hospital, Essex, UK.

Department of Surgery, James Paget University Hospital, Great Yarmouth, UK.

出版信息

Br J Hosp Med (Lond). 2020 Nov 2;81(11):1-5. doi: 10.12968/hmed.2020.0521. Epub 2020 Nov 17.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has had significant implications for society, with the introduction of restrictive social measures. Antibody tests provide a way of identifying patients who have been previously exposed to the virus and thus may have a degree of immunity. This is important in the development of public health policy, as local and national bodies seek to relax social restrictions in an attempt to mitigate the socioeconomic impact of the pandemic. This article explores the essential statistical concepts used to interpret the findings of diagnostic investigations, with examples illustrated using COVID-19 antibody tests.

摘要

2019年冠状病毒病(COVID-19)大流行对社会产生了重大影响,随之出台了限制性社会措施。抗体检测提供了一种识别先前接触过该病毒因而可能具有一定免疫力的患者的方法。这在公共卫生政策的制定中很重要,因为地方和国家机构试图放宽社会限制,以减轻大流行对社会经济的影响。本文探讨了用于解释诊断性调查结果的基本统计概念,并以COVID-19抗体检测为例进行说明。

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