African health sciences
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African health sciences · Mar 2021
First line antiretroviral treatment failure and associated factors among people living with HIV in northwest Ethiopia.
Anti-retroviral treatment enhances the immune status and reduces unwanted outcomes. However, development of treatment failure and drug resistance raises concern over lifelong treatments to chronic diseases such as HIV/AIDS. ⋯ Significant proportion of treatment failure was reported in the present study. Moreover, behavioral factors such as drug discontinuation, poor adherence, multiple sexual partner were associated with treatment failure. Hence, to avoid TF, regular patient counseling and monitoring should be in place. To identify the predictors for treatment failure, further follow-up study is desirable.
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African health sciences · Mar 2021
Prevalence of overweight/obesity and its associated factors among a sample of Moroccan type 2 diabetes patients.
Obesity constitutes a major risk factor for the development of diabetes, and has been linked with poor glycaemic control among type 2 diabetic patients. ⋯ Overweight, general obesity and abdominal obesity were high among participants, especially among women. Taken together, these findings urge the implementation of a roadmap for this diabetic subpopulation to have a new lifestyle.
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African health sciences · Mar 2021
Mercury hygiene and biomedical waste management practices among dental health-care personnel in public hospitals in Lagos State, Nigeria.
Indiscriminate disposal of hospital wastes including mercury/amalgam wastes pose a serious threat to life and environment. There is a growing concern about biomedical waste (BMW) management among health care workers, however there are limited reports on BMW management by dental personnel in developing countries. ⋯ A minor proportion of public dental personnel had good knowledge and practice of proper mercury hygiene and BMW management. This shows there is an urgent need for training of health personnel on proper BMW handling and disposal in developing countries like Nigeria.
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African health sciences · Mar 2021
COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model.
The primary purpose of this research is to identify the best COVID-19 mortality model for India using regression models and is to estimate the future COVID-19 mortality rate for India. Specifically, Statistical Neural Networks (Radial Basis Function Neural Network (RBFNN), Generalized Regression Neural Network (GRNN)), and Gaussian Process Regression (GPR) are applied to develop the COVID-19 Mortality Rate Prediction (MRP) model for India. ⋯ Here, sigma (σ) is a hyperparameter whose value is used to constrain the learning process of the above models with minimum Root Mean Squared Error (RMSE). The performance of the models is evaluated using the RMSE and 'R2 values, which shows that the GRP model performs better than the GRNN and RBFNN.
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African health sciences · Mar 2021
Prevalence of lower urinary tract symptoms in nurses and civil servants working at a hospital: a cross-sectional study.
Lower urinary tract symptoms (LUTS) are common in women and can interrupt daily living activities of the individuals. The study aimed at determining the LUTS prevalence and the influencing factors in nurses and civil servants working at a hospital. ⋯ Workplace conditions of the health workers should be reorganizing to have healthy urinary habits for preventing them from the development of LUTS.