Respiratory virus behavior: Results of laboratory-based epidemiological surveillance
Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased. Cross-sectional study. To describe the epidemi...
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Published in | PloS one Vol. 19; no. 10; p. e0307322 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
03.10.2024
Public Library of Science (PLoS) |
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Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0307322 |
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Abstract | Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased.
Cross-sectional study.
To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023.
Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed.
A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2).
Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. |
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AbstractList | BackgroundRespiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased.Study designCross-sectional study.ObjectiveTo describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023.MethodsUnivariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed.ResultsA total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2).ConclusionRespiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased. Cross-sectional study. To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023. Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed. A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2). Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased. Cross-sectional study. To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023. Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT-qPCR were performed. A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2). Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. Background Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased. Study design Cross-sectional study. Objective To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023. Methods Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed. Results A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0–8.2). Conclusion Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. Background Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased. Study design Cross-sectional study. Objective To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023. Methods Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT-qPCR were performed. Results A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2). Conclusion Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased.BACKGROUNDRespiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased.Cross-sectional study.STUDY DESIGNCross-sectional study.To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023.OBJECTIVETo describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023.Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed.METHODSUnivariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed.A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2).RESULTSA total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2).Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death.CONCLUSIONRespiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death. |
Audience | Academic |
Author | Cabrera Gaytán, David Alejandro Anguiano Hernández, Yu Mei Vallejos Parás, Alfonso Sandoval Gutiérrez, Nancy Arriaga Nieto, Lumumba Martínez Miguel, Bernardo Santacruz Tinoco, Clara Esperanza Jaimes Betancourt, Leticia Hernández Bautista, Porfirio Felipe Moctezuma Paz, Alejandro Alvarado Yaah, Julio Elias |
AuthorAffiliation | 1 Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México Korea Disease Control and Prevention Agency, REPUBLIC OF KOREA 4 Instituto Mexicano del Seguro Social, Unidad de Medicina Familiar No. 7, México, México 2 Instituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, México, México 3 Instituto Mexicano del Seguro Social, Coordinación de Investigación en Salud, México, México |
AuthorAffiliation_xml | – name: 3 Instituto Mexicano del Seguro Social, Coordinación de Investigación en Salud, México, México – name: Korea Disease Control and Prevention Agency, REPUBLIC OF KOREA – name: 1 Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México – name: 4 Instituto Mexicano del Seguro Social, Unidad de Medicina Familiar No. 7, México, México – name: 2 Instituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, México, México |
Author_xml | – sequence: 1 givenname: Porfirio Felipe surname: Hernández Bautista fullname: Hernández Bautista, Porfirio Felipe – sequence: 2 givenname: David Alejandro orcidid: 0000-0001-5314-4786 surname: Cabrera Gaytán fullname: Cabrera Gaytán, David Alejandro – sequence: 3 givenname: Alfonso surname: Vallejos Parás fullname: Vallejos Parás, Alfonso – sequence: 4 givenname: Alejandro surname: Moctezuma Paz fullname: Moctezuma Paz, Alejandro – sequence: 5 givenname: Clara Esperanza surname: Santacruz Tinoco fullname: Santacruz Tinoco, Clara Esperanza – sequence: 6 givenname: Julio Elias surname: Alvarado Yaah fullname: Alvarado Yaah, Julio Elias – sequence: 7 givenname: Yu Mei surname: Anguiano Hernández fullname: Anguiano Hernández, Yu Mei – sequence: 8 givenname: Bernardo surname: Martínez Miguel fullname: Martínez Miguel, Bernardo – sequence: 9 givenname: Lumumba surname: Arriaga Nieto fullname: Arriaga Nieto, Lumumba – sequence: 10 givenname: Leticia surname: Jaimes Betancourt fullname: Jaimes Betancourt, Leticia – sequence: 11 givenname: Nancy surname: Sandoval Gutiérrez fullname: Sandoval Gutiérrez, Nancy |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39361667$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_microc_2025_113138 |
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Copyright | Copyright: © 2024 Hernández Bautista 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. COPYRIGHT 2024 Public Library of Science 2024 Hernández Bautista et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2024 Hernández Bautista et al 2024 Hernández Bautista et al 2024 Hernández Bautista et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 CEST, YMAH, LJB and NSG also contributed equally to this work. Competing Interests: The authors have declared that no competing interests exist. |
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