African health sciences
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African health sciences · Mar 2021
Clustering time trends of breast cancer incidence in Africa: a 27-year longitudinal study in 53 countries.
Breast cancer is the most common, frequently diagnosed cancer with the highest incidence among female worldwide. Although the incidence is decreasing in developed countries, it is on increase in most of the African countries. ⋯ Providing health education programs is essential in African countries with rising trend of breast cancer during the last decades.
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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
Case ReportsNeurological manifestations following cured malaria: don't forget post-malaria neurological syndrome.
Cerebral malaria which occurs during the active infection is the most common neurological complication of malaria. Other complications including post-malaria neurological syndrome (PMNS) can rarely occur following complete recovery from the disease. We report a case of post-malaria neurological syndrome in a Tunisian patient. ⋯ PMNS should be considered in patients with neurological symptoms occurring within two months of cured acute disease in which blood smears for malaria are negative and other etiologies have been ruled out. In most cases, the disease is self-limited while in severe cases corticosteroid therapy should be prescribed with favorable outcome.
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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.