We studied the COVID-19 pandemic evolution in selected African countries. For each country considered, we modeled simultaneously the data of the active, recovered and death cases. In this study, we used a year of data since the first cases were reported. We estimated the time-dependent basic reproduction numbers,
, and the fractions of infected but unaffected populations, to offer insights into containment and vaccine strategies in African countries. We found that
at the start of the pandemic but has since fallen to
. The unaffected fractions of the populations studied vary between
% of the recovered cases.
Perivolaropoulos has recently proposed a position-deformed Heisenberg algebra which includes a maximal length [Phys. Rev. D 95, 103523 (2017)]. He has shown that this length scale naturally emerges in the context of cosmological particle's horizon or cosmic topology. Following this work, we propose a new deformed algebra and derive the maximal length uncertainty and its corresponding minimal momentum uncertainty from the generalized uncertainty principle. We construct a Hilbert space representation in the spectral representation of this length scale. We also construct the corresponding Fourier transform and its inverse representations. Finally, we propose n-dimensional representation of this algebra.
The rapid development of vaccines to combat COVID-19 is a great scientific achievement. In addition to non-pharmaceutical measures put in place to contain of the pandemic, pharmacological measures have been incorporated in the battle against the SARS-CoV-2, especially with the commencement of vaccination in early December 2020. This study used the SIDARTHE-V model, i.e.an extension of the SIDARTHE model with the impact of vaccination roll outs.We assessed the potential impact of vaccination in reducing the severity (deadly nature) of the virus in African countries. Model parameters were extracted by fitting simultaneously the COVID-19 cumulative data of active cases, recoveries, deaths and full vaccinations reported by the governments of Ghana, Kenya,
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.