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1.
Medicine (Baltimore) ; 101(33): e29938, 2022 Aug 19.
Artículo en Inglés | MEDLINE | ID: covidwho-2001499

RESUMEN

The coronavirus disease 2019 (COVID-19) pandemic has changed the global workloads and general well-being of employees, especially in the university system. The object of this study is to evaluate the mental health and effect of increase in workload on the general well-being of the administrative staff of the University of Nigeria, Nsukka, on the resumption of academic activities after the lockdown due to COVID-19. A total of 73 randomly selected administrative staff were involved in the study. Three sets of instruments, the demographic questionnaire, National Aeronautics and Space Administration-Task Load Index, and General Health Questionnaire, were used to obtain information on the demographic characteristics, workload, and level of mental disorder among the respondents due to COVID-19. The generalized linear regression model, 1-way analysis of variance, independent samples t test, and contingency coefficient were used to analyze the data. The results revealed that high workload is significantly associated with high risk of mental and general health disorders among the respondents. The married, divorced, widowed, older, and females staff with >2 children are the most vulnerable to mental disorder, physical workload, frustration, and general health challenges. The younger staff, those with at most 2 children, and those who are still single experience lower mental and general health disorder and are more resilient. Significant and comprehensive health and administrative support should be provided for the overall well-being of the staff.


Asunto(s)
COVID-19 , Pandemias , COVID-19/epidemiología , Niño , Control de Enfermedades Transmisibles , Femenino , Humanos , Salud Mental , Carga de Trabajo
2.
Medicine (Baltimore) ; 100(31): e26776, 2021 Aug 06.
Artículo en Inglés | MEDLINE | ID: covidwho-1354338

RESUMEN

ABSTRACT: The coronavirus (COVID-19) disease outbreak was a public health emergency of international concern which eventually evolved into a pandemic. Nigeria was locked down in March, 2020 as the country battled to contain the spread of the disease. By August 2020, phase-by-phase easing of the lockdown was commenced and university students will soon return for academic activities. This study undertakes some epidemiological analysis of the Nigerian COVID-19 data to help the government and university administrators make informed decisions on the safety of personnel and students.The COVID-19 data on confirmed cases, deaths, and recovered were obtained from the website of the Nigerian Centre for Disease Control (NCDC) from April 2, 2020 to August 24, 2020. The infection rate, prevalence, ratio, cause-specific death rate, and case recovery rate were used to evaluate the epidemiological characteristics of the pandemic in Nigeria. Exponential smoothing was adopted in modeling the time series data and forecasting the pandemic in Nigeria up to January 31, 2021.The results indicated that the pandemic had infection rate of at most 3 infections per 1 million per day from April to August 2020. The death rate was 5 persons per 1 million during the period of study while recovery rate was 747 persons per 1000 infections. Analysis of forecast data showed steady but gradual decrease in the daily infection rate and death rate and substantial increase in the recovery rate, 975 recoveries per 1000 infections.In general, the epidemiological attributes of the pandemic from the original data and the forecast data indicated optimism in the decrease in the rate of infection and death in the future. Moreover, the infection rate, prevalence and death rate in January 2021 coincided with the predictions based on the analysis. Therefore, the Nigerian government is encouraged to allow universities in the country to reopen while university administrators set up the necessary protocols for strict adherence to safety measures.


Asunto(s)
Personal Administrativo , COVID-19/mortalidad , Predicción/métodos , COVID-19/epidemiología , Humanos , Nigeria , Prevalencia , Universidades/organización & administración , Universidades/estadística & datos numéricos
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