Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies

Author:

Bailie Christopher R12ORCID,Tseng Yeu Yang3,Carolan Louise4,Kirk Martyn D5,Nicholson Suellen6,Fox Annette7,Sullivan Sheena G3

Affiliation:

1. World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne VIC , Australia

2. National Centre for Epidemiology and Public Health, Australian National University , Canberra Australian Capital Territory (ACT) , Australia

3. WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Department of Infectious Disease, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne  Victoria  (VIC) , Australia

4. WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity , Melbourne VIC , Australia

5. National Centre for Epidemiology and Public Health, Australian National University , Canberra ACT , Australia

6. Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity , Melbourne VIC , Australia

7. WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Department of Microbiology and Immunology, University of Melbourne, and Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne VIC , Australia

Abstract

Abstract A key aim of serosurveillance during the coronavirus disease 2019 (COVID-19) pandemic has been to estimate the prevalence of prior infection, by correcting crude seroprevalence against estimated test performance for polymerase chain reaction (PCR)-confirmed COVID-19. We show that poor generalizability of sensitivity estimates to some target populations may lead to substantial underestimation of case numbers.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3