Time and Change: Development of Private Universities in Nigeria

The increasing complexity of the Nigerian society as a result of social changes has affected the educational institution, most especially, the tertiary level of education. The Federal Government has introduced some novel practices to contend these pressures one of which is the privatization of higher education for standards and quality; increased access and better funding to meet the needs of globalization and the deregulation of hitherto publicly managed organizations. This article explores the relationship between public and private university education in Nigeria. The paper is divided into three sections. The first section analyses the historical development of the private university education in Nigeria. The second section analyses the justification for the establishment of private university institutions. The third section examines the challenges facing private university education in Nigeria and the fourth section discusses the various recommendations for quality assurance in the private university education

Emergence and spread of two SARS-CoV-2 variants of interest in Nigeria.

Identifying the dissemination patterns and impacts of a virus of economic or health importance during a pandemic is crucial, as it informs the public on policies for containment in order to reduce the spread of the virus. In this study, we integrated genomic and travel data to investigate the emergence and spread of the SARS-CoV-2 B.1.1.318 and B.1.525 (Eta) variants of interest in Nigeria and the wider Africa region. By integrating travel data and phylogeographic reconstructions, we find that these two variants that arose during the second wave in Nigeria emerged from within Africa, with the B.1.525 from Nigeria, and then spread to other parts of the world. Data from this study show how regional connectivity of Nigeria drove the spread of these variants of interest to surrounding countries and those connected by air-traffic. Our findings demonstrate the power of genomic analysis when combined with mobility and epidemiological data to identify the drivers of transmission, as bidirectional transmission within and between African nations are grossly underestimated as seen in our import risk index estimates