Alexander Boateng

Background: This study explores the determinants impacting the mortality risk of COVID-19 patients following hospitalisation within South Africa’s Limpopo province. Methods: Utilising a dataset comprising 388 patients, the investigation employs a frailty regression model to evaluate the influence of diverse characteristics on mortality outcomes, contrasting its performance against other parametric models based on loglikelihood measures. Results: The findings underscore diabetes and hypertension as notable contributors to heightened mortality rates, underscoring the urgency of effectively managing these comorbidities to optimise patient well-being. Additionally, regional discrepancies come to the fore, with the Capricorn district demonstrating elevated mortality risks, thereby accentuating the necessity for precisely targeted interventions. Medical interventions, particularly ventilation, emerge as pivotal factors in mitigating mortality risk. Gender-based distinctions in mortality patterns also underscore the need for bespoke patient care strategies. Conclusions: Collectively, these outcomes supply practical insights with implications for healthcare interventions, policy formulation, and clinical strategies aimed at ameliorating COVID-19 mortality risk among individuals discharged from hospitals within South Africa’s Limpopo province.

The financial sector is an integral part of the economy, playing a vital role in the overall economic development of a nation, but commercial banks in this sector face a myriad of risks. This has made understanding the impact of risk management on bank performance crucial. This study sought to examine the effect of risk management on the performance of commercial banks in Ghana. The study used a quantitative research approach, relying on secondary data from the yearly financial statements of the selected banks. Seven commercial banks were purposively sampled. According to the 2017 Ghana Banking Survey, the seven commercial banks selected represent more than 50 percent of Ghana’s financial market by proportion of industrial deposits, which was a criteria for selecting the seven banks. The results of the study showed that of the four types of risks examined vis-à-vis credit risk, operational risk, liquidity risk, and market risk, only operational risk was found to exert a significant influence on bank performance. Operational risk accounted for 99.24% of the variability in bank performance. Furthermore, it was observed that total risk management had a significant impact on bank performance, explaining 74.74% of the variance in bank performance. Since operational risk appears to exert far more influence on bank performance in Ghana than any other risk factor, it is recommended that banks, regulators, and policymakers place more emphasis on curbing operational risks when designing their risk management programmes, as this particular risk, among all the other risk types examined, seems to be the one that exerts the greatest influence on banking performance.