During April 2020, many countries in Europe suffered its first wave of infections with Covid-19 recording and increasingly high numbers of infections and deaths. The MENA region, on the other hand, had reported small numbers both for Covid-19 infections and death tolls. Several factors may have contributed to reducing the impact of the disease in the Middle East. This research blog discusses the factors that may have led to reducing the effect of the virus on the region, and in doing so, it uses Egypt as a case study. Demographic factors, public health interventions governments responses and geography of the region, among other factors, may have all played a part in reducing the death tolls as discussed in this blog post.
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Director of Analytical Research Ltd, and Affiliate Research Fellow, Oxford Institute of Population Ageing, University of Oxford, United Kingdom
Mohamed is trained in engineering (MEng – Cairo University), computer science (MSc – Cairo University) and mathematical finance (MSc – CASS Business School, University of London). Mohamed started his career in in the City of London in 1990s, working as a quantitative analyst for leading global financial organisations, such as Merrill Lynch, HSBC, Mizuho and Credit Suisse, before he began to shift his focus onto quantitative social research. Since 2009, he has worked as an independent researcher in the field of social sciences with a particular drive to make use of different statistical and mathematical modelling techniques for the analysis of large and multi-dispersed data sets.
He has worked with universities in the UK, Europe, Australia and the Middle East; publishing a number of peer-reviewed articles. He has also been invited to give talks and presentations at several leading universities and organisations. His current research interests focus on exploring the potential role of mathematical dynamical systems in the field of population ageing across health and social care. Mohamed is the Director of Analytical Research ltd and an affiliate at the Oxford Institute of Population Ageing, University of Oxford.