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Factors associated with SARS-COV-2 positive test in Lifelines
BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) can affect anyone, however, it is often mixed with other respiratory diseases. This study aimed to identify the factors associated with SARS-COV-2 positive test. METHODS: Participants from the Northern Netherlands representativ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686451/ https://www.ncbi.nlm.nih.gov/pubmed/38019869 http://dx.doi.org/10.1371/journal.pone.0294556 |
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author | Sidorenkov, Grigory Vonk, Judith M. Grzegorczyk, Marco Cortés-Ibañez, Francisco O. de Bock, Geertruida H. |
author_facet | Sidorenkov, Grigory Vonk, Judith M. Grzegorczyk, Marco Cortés-Ibañez, Francisco O. de Bock, Geertruida H. |
author_sort | Sidorenkov, Grigory |
collection | PubMed |
description | BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) can affect anyone, however, it is often mixed with other respiratory diseases. This study aimed to identify the factors associated with SARS-COV-2 positive test. METHODS: Participants from the Northern Netherlands representative of the general population were included if filled in the questionnaire about well-being between June 2020-April 2021 and were tested for SARS-COV-2. The outcome was a self-reported test as measured by polymerase chain reaction. The data were collected on age, sex, household, smoking, alcohol use, physical activity, quality of life, fatigue, symptoms and medications use. Participants were matched on sex, age and the timing of their SARS-COV-2 tests maintaining a 1:4 ratio and classified into those with a positive and negative SARS-COV-2 using logistic regression. The performance of the model was compared with other machine-learning algorithms by the area under the receiving operating curve. RESULTS: 2564 (20%) of 12786 participants had a positive SARS-COV-2 test. The factors associated with a higher risk of SARS-COV-2 positive test in multivariate logistic regression were: contact with someone tested positive for SARS-COV-2, ≥1 household members, typical SARS-COV-2 symptoms, male gender and fatigue. The factors associated with a lower risk of SARS-COV-2 positive test were higher quality of life, inhaler use, runny nose, lower back pain, diarrhea, pain when breathing, sore throat, pain in neck, shoulder or arm, numbness or tingling, and stomach pain. The performance of the logistic models was comparable with that of random forest, support vector machine and gradient boosting machine. CONCLUSIONS: Having a contact with someone tested positive for SARS-COV-2 and living in a household with someone else are the most important factors related to a positive SARS-COV-2 test. The loss of smell or taste is the most prominent symptom associated with a positive test. Symptoms like runny nose, pain when breathing, sore throat are more likely to be indicative of other conditions. |
format | Online Article Text |
id | pubmed-10686451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106864512023-11-30 Factors associated with SARS-COV-2 positive test in Lifelines Sidorenkov, Grigory Vonk, Judith M. Grzegorczyk, Marco Cortés-Ibañez, Francisco O. de Bock, Geertruida H. PLoS One Research Article BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) can affect anyone, however, it is often mixed with other respiratory diseases. This study aimed to identify the factors associated with SARS-COV-2 positive test. METHODS: Participants from the Northern Netherlands representative of the general population were included if filled in the questionnaire about well-being between June 2020-April 2021 and were tested for SARS-COV-2. The outcome was a self-reported test as measured by polymerase chain reaction. The data were collected on age, sex, household, smoking, alcohol use, physical activity, quality of life, fatigue, symptoms and medications use. Participants were matched on sex, age and the timing of their SARS-COV-2 tests maintaining a 1:4 ratio and classified into those with a positive and negative SARS-COV-2 using logistic regression. The performance of the model was compared with other machine-learning algorithms by the area under the receiving operating curve. RESULTS: 2564 (20%) of 12786 participants had a positive SARS-COV-2 test. The factors associated with a higher risk of SARS-COV-2 positive test in multivariate logistic regression were: contact with someone tested positive for SARS-COV-2, ≥1 household members, typical SARS-COV-2 symptoms, male gender and fatigue. The factors associated with a lower risk of SARS-COV-2 positive test were higher quality of life, inhaler use, runny nose, lower back pain, diarrhea, pain when breathing, sore throat, pain in neck, shoulder or arm, numbness or tingling, and stomach pain. The performance of the logistic models was comparable with that of random forest, support vector machine and gradient boosting machine. CONCLUSIONS: Having a contact with someone tested positive for SARS-COV-2 and living in a household with someone else are the most important factors related to a positive SARS-COV-2 test. The loss of smell or taste is the most prominent symptom associated with a positive test. Symptoms like runny nose, pain when breathing, sore throat are more likely to be indicative of other conditions. Public Library of Science 2023-11-29 /pmc/articles/PMC10686451/ /pubmed/38019869 http://dx.doi.org/10.1371/journal.pone.0294556 Text en © 2023 Sidorenkov et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sidorenkov, Grigory Vonk, Judith M. Grzegorczyk, Marco Cortés-Ibañez, Francisco O. de Bock, Geertruida H. Factors associated with SARS-COV-2 positive test in Lifelines |
title | Factors associated with SARS-COV-2 positive test in Lifelines |
title_full | Factors associated with SARS-COV-2 positive test in Lifelines |
title_fullStr | Factors associated with SARS-COV-2 positive test in Lifelines |
title_full_unstemmed | Factors associated with SARS-COV-2 positive test in Lifelines |
title_short | Factors associated with SARS-COV-2 positive test in Lifelines |
title_sort | factors associated with sars-cov-2 positive test in lifelines |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686451/ https://www.ncbi.nlm.nih.gov/pubmed/38019869 http://dx.doi.org/10.1371/journal.pone.0294556 |
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