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Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia
BACKGROUND: Healthcare workers (HCWs) is the high-risk group for COVID-19 infection due to increased workplace exposure. However, evidence of the disease burden and factors associated with severe COVID-19 infection among HCWs is limited. Therefore, this article aims to describe the prevalence of sev...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758662/ https://www.ncbi.nlm.nih.gov/pubmed/36528610 http://dx.doi.org/10.1186/s12913-022-08920-4 |
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author | Joo, Lim Kai Sazali, Mohd Fazeli Goroh, Michelle Zefong, Abraham Chin Maluda, Marilyn Charlene Montini Avoi, Richard Gantul, Valentine Japulee |
author_facet | Joo, Lim Kai Sazali, Mohd Fazeli Goroh, Michelle Zefong, Abraham Chin Maluda, Marilyn Charlene Montini Avoi, Richard Gantul, Valentine Japulee |
author_sort | Joo, Lim Kai |
collection | PubMed |
description | BACKGROUND: Healthcare workers (HCWs) is the high-risk group for COVID-19 infection due to increased workplace exposure. However, evidence of the disease burden and factors associated with severe COVID-19 infection among HCWs is limited. Therefore, this article aims to describe the prevalence of severe COVID-19 disease among HCWs in Sabah, Malaysia, and to determine the factors associated with severe COVID-19 infection. METHOD: A retrospective cross-sectional study was carried out by assessing the data of COVID-19-infected HCWs in Sabah, Malaysia, from 1st March 2021 until 30th September 2021. Logistic regression analysis was used in this study. RESULTS: Three thousand and forty HCWs were diagnosed with COVID-19 from 1st March 2021 until 30th September 2021. Of the 3040 HCWs, 2948 (97.0%) HCWs were mild, whereas 92 (3.0%) were severe. The multivariate logistic regression model showed that severe COVID-19 among HCWs in Sabah was associated with those do not receive any COVID-19 vaccination (aOR 6.061, 95% CI 3.408 – 10.780), underlying co-morbidity (aOR 3.335, 95% CI 2.183 – 5.096), and female (aOR 1.833, 95% CI 1.090 – 3.081). CONCLUSION: HCWs should strictly adhere to preventive measures, including vaccination, personal protective equipment, and early referral to a physician upon identifying severe COVID-19 infection. Early screening and aggressive co-morbidity treatment among HCWs are essential for public health practitioners to prevent severe COVID-19 disease. Regardless of co-morbidity status, HCWs should stay up to date with COVID-19 vaccination, including booster doses. |
format | Online Article Text |
id | pubmed-9758662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97586622022-12-18 Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia Joo, Lim Kai Sazali, Mohd Fazeli Goroh, Michelle Zefong, Abraham Chin Maluda, Marilyn Charlene Montini Avoi, Richard Gantul, Valentine Japulee BMC Health Serv Res Research BACKGROUND: Healthcare workers (HCWs) is the high-risk group for COVID-19 infection due to increased workplace exposure. However, evidence of the disease burden and factors associated with severe COVID-19 infection among HCWs is limited. Therefore, this article aims to describe the prevalence of severe COVID-19 disease among HCWs in Sabah, Malaysia, and to determine the factors associated with severe COVID-19 infection. METHOD: A retrospective cross-sectional study was carried out by assessing the data of COVID-19-infected HCWs in Sabah, Malaysia, from 1st March 2021 until 30th September 2021. Logistic regression analysis was used in this study. RESULTS: Three thousand and forty HCWs were diagnosed with COVID-19 from 1st March 2021 until 30th September 2021. Of the 3040 HCWs, 2948 (97.0%) HCWs were mild, whereas 92 (3.0%) were severe. The multivariate logistic regression model showed that severe COVID-19 among HCWs in Sabah was associated with those do not receive any COVID-19 vaccination (aOR 6.061, 95% CI 3.408 – 10.780), underlying co-morbidity (aOR 3.335, 95% CI 2.183 – 5.096), and female (aOR 1.833, 95% CI 1.090 – 3.081). CONCLUSION: HCWs should strictly adhere to preventive measures, including vaccination, personal protective equipment, and early referral to a physician upon identifying severe COVID-19 infection. Early screening and aggressive co-morbidity treatment among HCWs are essential for public health practitioners to prevent severe COVID-19 disease. Regardless of co-morbidity status, HCWs should stay up to date with COVID-19 vaccination, including booster doses. BioMed Central 2022-12-17 /pmc/articles/PMC9758662/ /pubmed/36528610 http://dx.doi.org/10.1186/s12913-022-08920-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Joo, Lim Kai Sazali, Mohd Fazeli Goroh, Michelle Zefong, Abraham Chin Maluda, Marilyn Charlene Montini Avoi, Richard Gantul, Valentine Japulee Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia |
title | Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia |
title_full | Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia |
title_fullStr | Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia |
title_full_unstemmed | Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia |
title_short | Predictors of severe COVID-19 among healthcare workers in Sabah, Malaysia |
title_sort | predictors of severe covid-19 among healthcare workers in sabah, malaysia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758662/ https://www.ncbi.nlm.nih.gov/pubmed/36528610 http://dx.doi.org/10.1186/s12913-022-08920-4 |
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