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Self-reported symptoms as predictors of SARS-CoV-2 infection in the general population living in the Amsterdam region, the Netherlands. / Bosdriesz, Jizzo R.; Ritsema, Feiko; Leenstra, Tjalling et al.

In: PLoS ONE, Vol. 17, No. 1 January, e0262287, 01.01.2022.

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@article{fda7b357a6374c70af3fd3d823169f1c,
title = "Self-reported symptoms as predictors of SARS-CoV-2 infection in the general population living in the Amsterdam region, the Netherlands",
abstract = "Introduction Most COVID-19 symptoms are non-specific and also common in other respiratory infections. We aimed to assess which symptoms are most predictive of a positive test for SARSCoV-2 in symptomatic people of the general population who were tested. Methods We used anonymised data of all SARS-CoV-2 test results from the Public Health Service of Amsterdam from June 1,2020 through August 31, 2021. Symptoms were self-reported at time of requesting a test. Multivariable logistic regression models with generalized estimating equations were used to identify predictors of a positive test. Included symptoms were: cough, fever, loss of smell or taste, muscle ache, runny nose, shortness of breath, and throat ache; adjustments were made for age and gender, and stratification by month. Results Overall, 12.0% of 773,680 tests in 432,213 unique individuals were positive. All symptoms were significantly associated with a positive test result, the strongest positive associations were: cough (aOR = 1.78, 95%CI = 1.75-1.80), fever (aOR = 2.11, 95%CI = 2.07-2.14), loss of smell or taste (aOR = 2.55, 95%CI = 2.50-2.61), and muscle ache (aOR = 2.38, 95% CI = 2.34-2.43). The adjusted odds ratios for loss of smell or taste slightly declined over time, while that for cough increased. Conclusion Cough, fever, loss of smell or taste, and muscle ache appear to be most strongly associated with a positive SARS-CoV-2 test in symptomatic people of the general population who were tested.",
author = "Bosdriesz, {Jizzo R.} and Feiko Ritsema and Tjalling Leenstra and Petrignani, {Mariska W. F.} and Bruisten, {Sylvia M.} and Liza Coyer and Schreijer, {Anja J. M.} and {van Duijnhoven}, {Yvonne T. H. P.} and {Schim van der Loeff}, {Maarten F.} and Matser, {Amy A.}",
note = "Funding Information: This publication is part of the project CONTROL with project number 10430022010022 of the research programme COVID-19 which is financed by The Netherlands Organisation for Health Research and Development (ZonMw). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: Copyright: {\textcopyright} 2022 Bosdriesz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2022",
month = jan,
day = "1",
doi = "10.1371/journal.pone.0262287",
language = "English",
volume = "17",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1 January",

}

RIS

TY - JOUR

T1 - Self-reported symptoms as predictors of SARS-CoV-2 infection in the general population living in the Amsterdam region, the Netherlands

AU - Bosdriesz, Jizzo R.

AU - Ritsema, Feiko

AU - Leenstra, Tjalling

AU - Petrignani, Mariska W. F.

AU - Bruisten, Sylvia M.

AU - Coyer, Liza

AU - Schreijer, Anja J. M.

AU - van Duijnhoven, Yvonne T. H. P.

AU - Schim van der Loeff, Maarten F.

AU - Matser, Amy A.

N1 - Funding Information: This publication is part of the project CONTROL with project number 10430022010022 of the research programme COVID-19 which is financed by The Netherlands Organisation for Health Research and Development (ZonMw). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: Copyright: © 2022 Bosdriesz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2022/1/1

Y1 - 2022/1/1

N2 - Introduction Most COVID-19 symptoms are non-specific and also common in other respiratory infections. We aimed to assess which symptoms are most predictive of a positive test for SARSCoV-2 in symptomatic people of the general population who were tested. Methods We used anonymised data of all SARS-CoV-2 test results from the Public Health Service of Amsterdam from June 1,2020 through August 31, 2021. Symptoms were self-reported at time of requesting a test. Multivariable logistic regression models with generalized estimating equations were used to identify predictors of a positive test. Included symptoms were: cough, fever, loss of smell or taste, muscle ache, runny nose, shortness of breath, and throat ache; adjustments were made for age and gender, and stratification by month. Results Overall, 12.0% of 773,680 tests in 432,213 unique individuals were positive. All symptoms were significantly associated with a positive test result, the strongest positive associations were: cough (aOR = 1.78, 95%CI = 1.75-1.80), fever (aOR = 2.11, 95%CI = 2.07-2.14), loss of smell or taste (aOR = 2.55, 95%CI = 2.50-2.61), and muscle ache (aOR = 2.38, 95% CI = 2.34-2.43). The adjusted odds ratios for loss of smell or taste slightly declined over time, while that for cough increased. Conclusion Cough, fever, loss of smell or taste, and muscle ache appear to be most strongly associated with a positive SARS-CoV-2 test in symptomatic people of the general population who were tested.

AB - Introduction Most COVID-19 symptoms are non-specific and also common in other respiratory infections. We aimed to assess which symptoms are most predictive of a positive test for SARSCoV-2 in symptomatic people of the general population who were tested. Methods We used anonymised data of all SARS-CoV-2 test results from the Public Health Service of Amsterdam from June 1,2020 through August 31, 2021. Symptoms were self-reported at time of requesting a test. Multivariable logistic regression models with generalized estimating equations were used to identify predictors of a positive test. Included symptoms were: cough, fever, loss of smell or taste, muscle ache, runny nose, shortness of breath, and throat ache; adjustments were made for age and gender, and stratification by month. Results Overall, 12.0% of 773,680 tests in 432,213 unique individuals were positive. All symptoms were significantly associated with a positive test result, the strongest positive associations were: cough (aOR = 1.78, 95%CI = 1.75-1.80), fever (aOR = 2.11, 95%CI = 2.07-2.14), loss of smell or taste (aOR = 2.55, 95%CI = 2.50-2.61), and muscle ache (aOR = 2.38, 95% CI = 2.34-2.43). The adjusted odds ratios for loss of smell or taste slightly declined over time, while that for cough increased. Conclusion Cough, fever, loss of smell or taste, and muscle ache appear to be most strongly associated with a positive SARS-CoV-2 test in symptomatic people of the general population who were tested.

UR - http://www.scopus.com/inward/record.url?scp=85123687424&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0262287

DO - 10.1371/journal.pone.0262287

M3 - Article

C2 - 35089936

VL - 17

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 1 January

M1 - e0262287

ER -

ID: 21579301