The business management training needs of South African Biokineticists to ensure business sustainability

Background: Business management training is essential for success in the modern era. Health and medical professionals are exposed to knowledge that allows them to treat pathologies. However, their training does not prepare them to manage their practices as businesses and in a sustainable, effective, and efficient manner. Objectives: To investigate the business management training needs of registered South African Biokineticists. Methods: A quantitative and descriptive research design was used. Sixty-nine registered Biokineticists answered the emailed survey. The survey was sent out on two separate days, two weeks apart. Participants could only answer the survey once. The survey was sent out by the Biokinetics Association of South Africa (BASA). The sample in this study consisted of both male and female participants who graduated between the years of 1985-2019. The survey consisted of demographic questions about their study methods. It also included a 5-point Likert Scale where a score of 1 indicated an exceptionally low need and a score of 5 indicated a very high need for corresponding business processes. The business processes included accounting, business sustainability, corporate social responsibility, ethics, financial management, human resource management, leadership and managerial decision-making, marketing, operational management, and strategic management. A final open-ended question on what other business management training the participant needed was asked at the end of the survey. Results: Combined high to very high needs (X≥4 on the Likert Scale) for the business management processes explored were: accounting: 28%, business sustainability: 33%, corporate social responsibility: 23%, ethics: 55%, financial management: 35%, human resource management: 29%, leadership and managerial decision-making: 43%, marketing: 41%, operational management: 39%, and strategic management: 33%. Seventy-one percent of the participants who took part in the study suggested that they needed other business management training needs, providing suggestions in the final question. Of the 71% of participants who answered this question, the most important requests identified included information technology (17%), tax- related management and knowledge (19%) and medical aid training for ICD-10 coding (13%). The other 51% of the participants that answered the final question provided suggestions that could be categorised into the areas of business already reported on in the Likert Scale. Sixty-nine out of a possible ±1600 registered Biokineticists who were BASA members completed the survey. This represents a response rate of about 4%. Conclusion: Business management training needs exist for South African Biokineticists. By addressing these needs, it may lead to improvements in overall patient care, practice management and small business growth which in return can lead to the socioeconomic stimulation of the country

Housing, planning and urban health: historical and current perspectives from South Africa

Globally, policymakers often describe informal settlements and slums in terms of health problems. In this paper we trace the way housing and planning have been linked to health concerns in the history of South Africa and we assess post-apartheid literature on the topic. We note that researchers continue to rely on a biomedical understanding of the relationship between housing, planning and health although, we argue, the links between them are tenuous. We propose the capabilities approach as a way to understand this relationship. Reframing the relationship between housing, planning and health within the capabilities approach may improve the current understanding of this link. Aim.  This paper discusses the historical links between housing, planning and health in South Africa, assesses post-apartheid policy, and reviews post-apartheid literature on the relationship between housing, planning and health. Results and conclusions.  We find it is assumed that the link between housing, planning and health is a biomedical concern and not a social concern. We argue that scholars thinking about this relationship should consider the opportunities embedded in the capabilities approach to understand health outside the biomedical frame

Supervised learning and image processing for efficient malaria detection

Malaria is a devastating disease that leads to many deaths each year. Currently, most malaria diagnoses are performed manually, which is time consuming. This may result in it taking longer to diagnose patients, especially those in poor and rural areas, motivating the development of automated detection tools. Deep learning approaches, particularly convolutional neural networks (CNNs), have seen success in the existing literature. However, CNNs are computationally expensive and require significant amounts of training data, which may limit their real-world viability, especially in poorer and rural communities. Nondeep supervised techniques are largely free from these limitations but have received less attention in the existing literature. This paper differs from existing work using non-deep systems by investigating the use of RFs, adopting a more rigourous testing methodology and conducting a broader exploration of pre-processing techniques. Two non-deep supervised systems are proposed, based on random forests (RFs) and support vector machines (SVMs). The RF system performs better, having achieved an accuracy of 96.29% when tested on 20 000 images, with runtimes of less than two seconds. Testing on a small dataset of images gathered from a different source achieves similar performance, suggesting the model may generalise to different imaging conditions. The system achieves higher recall than existing non-deep approaches, and its accuracy, recall and precision are within 4% of the highest performing CNN approach

Monitoring CD27 expression to evaluate Mycobacterium tuberculosis activity in HIV-1 infected individuals in vivo.

The level of bacterial activity is only poorly defined during asymptomatic Mycobacterium tuberculosis (MTB) infection. The objective was to study the capacity of a new biomarker, the expression of the T cell maturation marker CD27 on MTB-specific CD4 T cells, to identify active tuberculosis (TB) disease in subjects from a MTB and HIV endemic region. The frequency and CD27 expression of circulating MTB-specific CD4 T cells was determined in 96 study participants after stimulation with purified protein derivative (PPD) using intracellular cytokine staining for IFNgamma (IFNγ). Subjects were then stratified by their TB and HIV status. Within PPD responders, a CD27(-) phenotype was associated with active TB in HIV(-) (p = 0.0003) and HIV(+) (p = 0.057) subjects, respectively. In addition, loss of CD27 expression preceded development of active TB in one HIV seroconverter. Interestingly, in contrast to HIV(-) subjects, MTB-specific CD4 T cell populations from HIV(+) TB-asymptomatic subjects were often dominated by CD27(-) cells. These data indicate that down-regulation of CD27 on MTB-specific CD4 T cell could be used as a biomarker of active TB, potentially preceding clinical TB disease. Furthermore, these data are consistent with the hypothesis that late, chronic HIV infection is frequently associated with increased mycobacterial activity in vivo. The analysis of T cell maturation and activation markers might thus be a useful tool to monitor TB disease progression

Evaluation of the WRF and CHIMERE models for the simulation of PM₂.₅ in large East African urban conurbations

Urban conurbations of East Africa are affected by harmful levels of air pollution. The paucity of local air quality networks and the absence of the capacity to forecast air quality make difficult to quantify the real level of air pollution in this area. The CHIMERE chemistry transport model has been used along with the Weather Research and Forecasting (WRF) meteorological model to run high-spatial-resolution (2 × 2 km) simulations of hourly concentrations of particulate matter with an aerodynamic diameter smaller than 2.5 µm (PM2.5) for three East African urban conurbations: Addis Ababa in Ethiopia, Nairobi in Kenya, and Kampala in Uganda. Two existing emission inventories were combined to test the performance of CHIMERE as an air quality model for a target monthly period in 2017, and the results were compared against observed data from urban, roadside, and rural sites. The results show that the model is able to reproduce hourly and daily temporal variabilities in aerosol concentrations that are close to observed values from urban, roadside, and rural environments. CHIMERE's performance as a tool for managing air quality was also assessed. The analysis demonstrated that, despite the absence of high-resolution data and up-to-date biogenic and anthropogenic emissions, the model was able to reproduce 66 %–99 % of the daily PM2.5 exceedances above the World Health Organization (WHO) 24 h mean PM2.5 guideline (25 µg m−3) in the three cities. An analysis of the 24 h average PM2.5 levels was also carried out for 17 constituencies in the vicinity of Nairobi. This showed that 47 % of the constituencies in the area exhibited a poor Air Quality Index for PM2.5 that was in the unhealthy category for human health, thereby exposing between 10 000 and 30 000 people per square kilometre to harmful levels of air contamination

Children from Baffin Island have a disproportionate burden of tuberculosis in Canada: data from the Children's Hospital of Eastern Ontario (1998-2008)

<p>Abstract</p> <p>Background</p> <p>The Children's Hospital of Eastern Ontario (CHEO) provides services to children in Baffin Island, through the Baffin Island Pediatric Health Initiative. Tuberculosis (TB) remains a major public health problem in that region. The objective of our study was to describe the origin and clinical characteristics of patients with TB disease at CHEO, since the inception of the Baffin Island Pediatric Health Initiative.</p> <p>Methods</p> <p>All charts with a discharge diagnosis of TB disease during the first 10 years of the Baffin Island program were reviewed. Patients meeting a pre-determined case definition were included in analyses. A standard medical record abstraction form was used for patient data collection.</p> <p>Results</p> <p>Twenty patients met our case definition. Seven (35%) were Canadian-born children from Baffin Island. Seven resided in Ontario, 4 in Quebec, and 2 were visiting from other countries. All 7 children residing in Ontario were born in African countries. Endothoracic disease occurred in 16 patients (80%), including 9 with primary pulmonary TB, and 3 with sputum smear positive "adult-type" disease. Extrathoracic disease was present in 6 children (30%), including 3 with CNS disease. Three children had disease in 2 separate sites.</p> <p>Conclusions</p> <p>While Baffin Island makes up 1% of the hospital catchment population, they contributed 35% of TB patients, and the only TB death. While TB in foreign-born children is due in part to epidemics abroad, the problem in Baffin Island is a reflection of disease burden and transmission within Canada.</p