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

Christopher R. Bailie; Yeu Yang Tseng; Louise Carolan; Martyn D. Kirk; Suellen Nicholson; Annette Fox; Sheena G. Sullivan

doi:10.1093/cid/ciac020

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

Christopher R. Bailie, Yeu Yang Tseng, Louise Carolan, Martyn D. Kirk, Suellen Nicholson, Annette Fox, Sheena G. Sullivan

Research output: Contribution to journal › Article › Research › peer-review

5 Citations (Scopus)

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.

Original language	English
Pages (from-to)	e357-e360
Number of pages	4
Journal	Clinical Infectious Diseases
Volume	75
Issue number	1
DOIs	https://doi.org/10.1093/cid/ciac020
Publication status	Published - 1 Jul 2022
Externally published	Yes

Keywords

antibody
COVID-19
sensitivity
serology
surveillance

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/cid/ciac020

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Bailie, C. R., Tseng, Y. Y., Carolan, L., Kirk, M. D., Nicholson, S., Fox, A., & Sullivan, S. G. (2022). 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. Clinical Infectious Diseases, 75(1), e357-e360. https://doi.org/10.1093/cid/ciac020

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title = "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",

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.",

keywords = "antibody, COVID-19, sensitivity, serology, surveillance",

author = "Bailie, {Christopher R.} and Tseng, {Yeu Yang} and Louise Carolan and Kirk, {Martyn D.} and Suellen Nicholson and Annette Fox and Sullivan, {Sheena G.}",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s).",

year = "2022",

month = jul,

day = "1",

doi = "10.1093/cid/ciac020",

language = "English",

volume = "75",

pages = "e357--e360",

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Bailie, CR, Tseng, YY, Carolan, L, Kirk, MD, Nicholson, S, Fox, A & Sullivan, SG 2022, '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', Clinical Infectious Diseases, vol. 75, no. 1, pp. e357-e360. https://doi.org/10.1093/cid/ciac020

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. / Bailie, Christopher R.; Tseng, Yeu Yang; Carolan, Louise et al.
In: Clinical Infectious Diseases, Vol. 75, No. 1, 01.07.2022, p. e357-e360.

Research output: Contribution to journal › Article › Research › peer-review

TY - JOUR

T1 - 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)

T2 - Unpacking Potential Bias in Seroprevalence Studies

AU - Bailie, Christopher R.

AU - Tseng, Yeu Yang

AU - Carolan, Louise

AU - Kirk, Martyn D.

AU - Nicholson, Suellen

AU - Fox, Annette

AU - Sullivan, Sheena G.

PY - 2022/7/1

Y1 - 2022/7/1

N2 - 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.

AB - 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.

KW - antibody

KW - COVID-19

KW - sensitivity

KW - serology

KW - surveillance

UR - http://www.scopus.com/inward/record.url?scp=85137126214&partnerID=8YFLogxK

U2 - 10.1093/cid/ciac020

DO - 10.1093/cid/ciac020

M3 - Article

C2 - 35026841

AN - SCOPUS:85137126214

SN - 1058-4838

VL - 75

SP - e357-e360

JO - Clinical Infectious Diseases

JF - Clinical Infectious Diseases

IS - 1

ER -

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

Abstract

Keywords

UN SDGs

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