Your browser doesn't support javascript.
COVID-19 antibody tests: statistical implications.
Kankam, Hadyn Kn; Hourston, George Jm; Ravindran, Pahalavi; Azhar, Bilal; Pope, Cassie.
  • Kankam HK; Department of Surgery, Colchester Hospital, Essex, UK.
  • Hourston GJ; Department of Surgery, James Paget University Hospital, Great Yarmouth, UK.
  • Ravindran P; St George's University of London, London, UK.
  • Azhar B; Department of Vascular Surgery, St George's Hospital, London, UK.
  • Pope C; Department of Microbiology, St George's Hospital, London, UK.
Br J Hosp Med (Lond) ; 81(11): 1-5, 2020 Nov 02.
Article in English | MEDLINE | ID: covidwho-954115
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Testing / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Br J Hosp Med (Lond) Journal subject: Hospitals / Medicine Year: 2020 Document Type: Article Affiliation country: Hmed.2020.0521

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Testing / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Br J Hosp Med (Lond) Journal subject: Hospitals / Medicine Year: 2020 Document Type: Article Affiliation country: Hmed.2020.0521