The Impact of COVID-19 on Nurses’ Mental Healthcare and Sustainability by Data Analysis

Xinran Liu, Xueming Wang, Songcheng Zhuo, Fangce Zhang

2022

Abstract

COVID-19 has profoundly impacted everyone’s lives with many publications investigating different aspects of this pandemic, yet limited literature focused on the mental health of frontline nurses with a small sample size. The published dataset in Hu et al.’s studies, with collected frontline nurses’ mental health conditions and sociodemographic characteristics in Wuhan, February 13, 2020, were chosen to be the original dataset. In this paper, three responses-depression, anxiety, and fear-are selected, and 17 socio-demographic covariates are chosen. The results were obtained by applying linear regression, logistic regression, ordinal regression, corresponding model selection, and diagnostics in R. It revealed that Wuhan as origin, working wards changed, and willingness to participate in the frontline are the factors associated with anxiety; child-rearing, monthly household income, and etc. to participate in the frontline are the factors associated with depression; age, sex, education, average working hours/shift, Wuhan as origin, and etc. are the factors associated with fear.

Paper Citation

in Harvard Style

Liu X., Wang X., Zhuo S. and Zhang F. (2022). The Impact of COVID-19 on Nurses’ Mental Healthcare and Sustainability by Data Analysis. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 181-193. DOI: 10.5220/0011241200003438

in Bibtex Style

@conference{ichih22,
author={Xinran Liu and Xueming Wang and Songcheng Zhuo and Fangce Zhang},
title={The Impact of COVID-19 on Nurses’ Mental Healthcare and Sustainability by Data Analysis},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={181-193},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011241200003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - The Impact of COVID-19 on Nurses’ Mental Healthcare and Sustainability by Data Analysis
SN - 978-989-758-596-8
AU - Liu X.
AU - Wang X.
AU - Zhuo S.
AU - Zhang F.
PY - 2022
SP - 181
EP - 193
DO - 10.5220/0011241200003438