Cargando…

An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff

The mental and physical well-being of healthcare workers is being affected by global COVID-19. The pandemic has impacted the mental health of medical staff in numerous ways. However, most studies have examined sleep disorders, depression, anxiety, and post-traumatic problems in healthcare workers du...

Descripción completa

Detalles Bibliográficos
Autores principales: Irfan, Muhammad, Shaf, Ahmad, Ali, Tariq, Zafar, Maryam, Rahman, Saifur, I. Hendi, Meiaad Ali, M. Baeshen, Shatha Abduh, Maghfouri, Maryam Mohammed Mastoor, Alahmari, Hailah Saeed Mohammed, Shahhar, Ftimah Ahmed Ibrahim, Shahhar, Nujud Ahmed Ibrahim, Halawi, Amnah Sultan, Mahnashi, Fatima Hussen, Alqhtani, Samar M., Ali M., Bahran Taghreed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249891/
https://www.ncbi.nlm.nih.gov/pubmed/37289778
http://dx.doi.org/10.1371/journal.pone.0286155
_version_ 1785055642236485632
author Irfan, Muhammad
Shaf, Ahmad
Ali, Tariq
Zafar, Maryam
Rahman, Saifur
I. Hendi, Meiaad Ali
M. Baeshen, Shatha Abduh
Maghfouri, Maryam Mohammed Mastoor
Alahmari, Hailah Saeed Mohammed
Shahhar, Ftimah Ahmed Ibrahim
Shahhar, Nujud Ahmed Ibrahim
Halawi, Amnah Sultan
Mahnashi, Fatima Hussen
Alqhtani, Samar M.
Ali M., Bahran Taghreed
author_facet Irfan, Muhammad
Shaf, Ahmad
Ali, Tariq
Zafar, Maryam
Rahman, Saifur
I. Hendi, Meiaad Ali
M. Baeshen, Shatha Abduh
Maghfouri, Maryam Mohammed Mastoor
Alahmari, Hailah Saeed Mohammed
Shahhar, Ftimah Ahmed Ibrahim
Shahhar, Nujud Ahmed Ibrahim
Halawi, Amnah Sultan
Mahnashi, Fatima Hussen
Alqhtani, Samar M.
Ali M., Bahran Taghreed
author_sort Irfan, Muhammad
collection PubMed
description The mental and physical well-being of healthcare workers is being affected by global COVID-19. The pandemic has impacted the mental health of medical staff in numerous ways. However, most studies have examined sleep disorders, depression, anxiety, and post-traumatic problems in healthcare workers during and after the outbreak. The study’s objective is to evaluate COVID-19’s psychological effects on healthcare professionals of Saudi Arabia. Healthcare professionals from tertiary teaching hospitals were invited to participate in the survey. Almost 610 people participated in the survey, of whom 74.3% were female, and 25.7% were male. The survey included the ratio of Saudi and non-Saudi participants. The study has utilized multiple machine learning algorithms and techniques such as Decision Tree (DT), Random Forest (RF), K Nearest Neighbor (KNN), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). The machine learning models offer 99% accuracy for the credentials added to the dataset. The dataset covers several aspects of medical workers, such as profession, working area, years of experience, nationalities, and sleeping patterns. The study concluded that most of the participants who belonged to the medical department faced varying degrees of anxiety and depression. The results reveal considerable rates of anxiety and depression in Saudi frontline workers.
format Online
Article
Text
id pubmed-10249891
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-102498912023-06-09 An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff Irfan, Muhammad Shaf, Ahmad Ali, Tariq Zafar, Maryam Rahman, Saifur I. Hendi, Meiaad Ali M. Baeshen, Shatha Abduh Maghfouri, Maryam Mohammed Mastoor Alahmari, Hailah Saeed Mohammed Shahhar, Ftimah Ahmed Ibrahim Shahhar, Nujud Ahmed Ibrahim Halawi, Amnah Sultan Mahnashi, Fatima Hussen Alqhtani, Samar M. Ali M., Bahran Taghreed PLoS One Research Article The mental and physical well-being of healthcare workers is being affected by global COVID-19. The pandemic has impacted the mental health of medical staff in numerous ways. However, most studies have examined sleep disorders, depression, anxiety, and post-traumatic problems in healthcare workers during and after the outbreak. The study’s objective is to evaluate COVID-19’s psychological effects on healthcare professionals of Saudi Arabia. Healthcare professionals from tertiary teaching hospitals were invited to participate in the survey. Almost 610 people participated in the survey, of whom 74.3% were female, and 25.7% were male. The survey included the ratio of Saudi and non-Saudi participants. The study has utilized multiple machine learning algorithms and techniques such as Decision Tree (DT), Random Forest (RF), K Nearest Neighbor (KNN), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). The machine learning models offer 99% accuracy for the credentials added to the dataset. The dataset covers several aspects of medical workers, such as profession, working area, years of experience, nationalities, and sleeping patterns. The study concluded that most of the participants who belonged to the medical department faced varying degrees of anxiety and depression. The results reveal considerable rates of anxiety and depression in Saudi frontline workers. Public Library of Science 2023-06-08 /pmc/articles/PMC10249891/ /pubmed/37289778 http://dx.doi.org/10.1371/journal.pone.0286155 Text en © 2023 Irfan 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
Irfan, Muhammad
Shaf, Ahmad
Ali, Tariq
Zafar, Maryam
Rahman, Saifur
I. Hendi, Meiaad Ali
M. Baeshen, Shatha Abduh
Maghfouri, Maryam Mohammed Mastoor
Alahmari, Hailah Saeed Mohammed
Shahhar, Ftimah Ahmed Ibrahim
Shahhar, Nujud Ahmed Ibrahim
Halawi, Amnah Sultan
Mahnashi, Fatima Hussen
Alqhtani, Samar M.
Ali M., Bahran Taghreed
An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
title An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
title_full An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
title_fullStr An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
title_full_unstemmed An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
title_short An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
title_sort intelligent framework to measure the effects of covid-19 on the mental health of medical staff
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249891/
https://www.ncbi.nlm.nih.gov/pubmed/37289778
http://dx.doi.org/10.1371/journal.pone.0286155
work_keys_str_mv AT irfanmuhammad anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT shafahmad anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alitariq anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT zafarmaryam anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT rahmansaifur anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT ihendimeiaadali anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT mbaeshenshathaabduh anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT maghfourimaryammohammedmastoor anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alahmarihailahsaeedmohammed anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT shahharftimahahmedibrahim anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT shahharnujudahmedibrahim anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT halawiamnahsultan anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT mahnashifatimahussen anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alqhtanisamarm anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alimbahrantaghreed anintelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT irfanmuhammad intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT shafahmad intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alitariq intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT zafarmaryam intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT rahmansaifur intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT ihendimeiaadali intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT mbaeshenshathaabduh intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT maghfourimaryammohammedmastoor intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alahmarihailahsaeedmohammed intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT shahharftimahahmedibrahim intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT shahharnujudahmedibrahim intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT halawiamnahsultan intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT mahnashifatimahussen intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alqhtanisamarm intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff
AT alimbahrantaghreed intelligentframeworktomeasuretheeffectsofcovid19onthementalhealthofmedicalstaff