Impact of burnout on depression among nurses at a private hospital in Johannesburg, South Africa.

Background: Burnout is a syndrome that is understood as emanating from chronic workplace stressors that have not been managed successfully. Little is known about the causes of burnout among nurses in South Africa. The study aimed to determine the prevalence of burnout and its impact on depression and assess the relationship between burnout and depression among nurses at a Johannesburg private hospital.

Knowledge, perceptions, beliefs, and opinions of the employees about GBV: a national online study in South Africa.

Background: GBV has been global public health, family, and social problem for several decades as it is expensive for society and the economy. The study was conducted to determine the possible differences in knowledge, perceptions, beliefs, and opinions about GBV, as a whole, across gender and employment sectors in South Africa.

Methods: This was a cross-sectional study using mixed-method design where we used an online survey with two open-ended questions.

Effect of the coronavirus pandemic on nutrition and health of adults in Calabar, Nigeria: A post-lockdown analysis.

Background: The food security and nutrition of millions of people around the world is currently being threatened by the coronavirus disease 2019 (COVID-19) pandemic, an evolving health crisis.

Aim: To evaluate the effect of the COVID-19 pandemic on nutrition and health of adults in Calabar, especially after the hard lockdown.

Setting: Online cross-sectional survey in Calabar, Nigeria.

Modelling of South African Hypertension: Application of Panel Quantile Regression.

Hypertension is one of the crucial risk factors for morbidity and mortality around the world, and South Africa has a significant unmet need for hypertension care. This study aims to establish the potential risk factors of hypertension amongst adults in South Africa attributable to high systolic and diastolic blood pressure over time by fitting panel quantile regression models. Data obtained from the South African National Income Dynamics Study (NIDS) Household Surveys carried out from 2008 to 2018 (Wave 1 to Wave 5) was employed to develop both the fixed effects and random effects panel quantile regression models.

Modelling of South African Hypertension: Comparative Analysis of the Classical and Bayesian Quantile Regression Approaches.

Hypertension has become a major public health challenge and a crucial area of research due to its high prevalence across the world including the sub-Saharan Africa. No previous study in South Africa has investigated the impact of blood pressure risk factors on different specific conditional quantile functions of systolic and diastolic blood pressure using Bayesian quantile regression. Therefore, this study presents a comparative analysis of the classical and Bayesian inference techniques to quantile regression.