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Diabetes is one of the life-threatening chronic diseases, which is already affecting 422m people globally based on (World Health Organization) WHO report as at 2018. This costs individuals, government and groups a whole lot; right from its diagnosis stage to the treatment stage. The reason for this cost, among others, is that it is a long-term treatment disease. This disease is likely to continue to affect more people because of its long asymptotic phase, which makes its early detection not feasible.

In this study, the authors have presented machine learning models with feature selection, which can detect diabetes disease at its early stage. Also, the models presented are not costly and available to everyone, including those in the remote areas.

The study result shows that feature selection helps in getting better model, as it prevents overfitting and removes redundant data. Hence, the study result when compared with previous research shows the better result has been achieved, after it was evaluated based on metrics such as F-measure, Precision-Recall curve and Receiver Operating Characteristic Area Under Curve. This discovery has the potential to impact on clinical practice, when health workers aim at diagnosing diabetes disease at its early stage.

This study has not been published anywhere else.

The COVID-19 pandemic has had a disruptive effect on the health system. Health facility leaders were at the forefront of maintaining service delivery and were exposed to varied stressors in the early phase of the pandemic. This study aims to explore the leadership experiences of health facility leaders during the early phase of the COVID-19 pandemic in Nigeria’s epicentre.

This study conducted an exploratory descriptive qualitative study. To achieve this, 33 health facility leaders of different cadres across primary, secondary, and tertiary levels of the public health care system in Lagos, Nigeria, were remotely interviewed. The key informant interviews were transcribed verbatim and were analysed by using thematic analysis.

The health facility leaders experienced heightened levels of fear, anxiety and stressors during the early phase of the pandemic. They also had genuine concerns about exposing their family members to the virus and had to manage some health-care workers who were afraid for their lives and reluctant. Coping mechanisms included psychological and social support, innovative hygiene measures at health facility and at home, training and staff welfare in more ways than usual. They were motivated to continue rendering services during the crisis because of their passion, their calling, the Hippocratic oath and support from the State government.

The experiences of health facility leaders from different parts of the world have been documented. However, to the best of the authors’ knowledge, this is one of the first studies that specifically report multi-layer leadership experiences of health facility leaders during the early phase of the COVID-19 pandemic in sub-Saharan Africa.