Literature DB >> 33263485

COVID-19 antibody tests: statistical implications.

Hadyn Kn Kankam1, George Jm Hourston2, Pahalavi Ravindran3, Bilal Azhar4, Cassie Pope5.   

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.

Entities:  

Keywords:  Antibody; COVID-19; Pandemic; Predictive value; Sensitivity; Specificity

Year:  2020        PMID: 33263485     DOI: 10.12968/hmed.2020.0521

Source DB:  PubMed          Journal:  Br J Hosp Med (Lond)        ISSN: 1750-8460            Impact factor:   0.825


  1 in total

1.  Disease Prevalence Matters: Challenge for SARS-CoV-2 Testing.

Authors:  Chin-Shern Lau; Tar-Choon Aw
Journal:  Antibodies (Basel)       Date:  2021-12-17
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.