Design of a FAIR digital data health infrastructure in Africa for COVID-19 reporting and research

The limited volume of COVID-19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS-CoV-2 mutations. The Virus Outbreak Data Network (VODAN)-Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID-19, producing these as human- and machine-readable data objects in a distributed architecture of locally governed, linked, human- and machine-readable data. This architecture supports analytics at the point of care and-through data visiting, across facilities-for generic analytics. An algorithm was run across FAIR Data Points to visit the distributed data and produce aggregate findings. The FAIR data architecture is deployed in Uganda, Ethiopia, Liberia, Nigeria, Kenya, Somalia, Tanzania, Zimbabwe, and Tunisia.Computer Systems, Imagery and Medi

Poverty challenges and solutions for the new millennium: a case study approach to examining the effectiveness of Christian faith-based organizations (CFBOs) in their efforts to eradicate poverty in urban and rural Kenya

This thesis explores the effectiveness of a Faith-based holistic approach to poverty in Kenya. The concept of effectiveness is explored through a case study approach to community development activities carried out by four case studies, namely IMANI and K-REP in Nairobi County and Mwenda Andu and KICABA programmes in Kitui County. Four themes have been developed to form a framework for analysing the concept of effectiveness. Within this framework, the study addresses the gap between theory and practice on one hand and, on the other hand, what the people presumed to be poor see as gaps in what is presented by agencies as meeting the poor’s own Most Significant Change needs. Specifically, poverty as a lack of capabilities from a multidimensional approach has been challenged further by testing effectiveness using the Most Significant Change (MSC) needs of the poor in both rural and urban settlements. Despite much support in education, the creation of credit lending facilities, improved sustainable smallholder agricultural production, provision of clean water and health amenities, leadership training fused with Christian Gospel living, poverty has been on the rise in Kenya. Therefore, this project uses the MSC approach to analyse and discuss the missing poverty dimensions regarding how poverty is defined and presented by different communities in their respective cultures. It is argued that if the missing poverty dimensions are understood there could be the desired social transformation within the development agencies at local, regional and international levels by re-thinking the methodologies and approaches used in deciding on the most suitable poverty interventions. The data findings and analysis of this study not only challenge secular development agencies on how to address the poor’s poverty but also FBOs which find themselves pushing forward interventions which may not agree with what the poor see as MSC. I propose that the effectiveness model as a tool for development agencies can be used in bringing about a holistic and transformational approach to poverty in Kenya