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This review paper has explored big data, artificial intelligence and nature-inspired computing models for detection of the COVID-19 pandemic cases, and for contact tracing in the current pandemic.

During this time of a global pandemic, individuals all over the world are experiencing some sort of acute stress, uncertainty and anxiety (Presti, McHugh, Gloster, Karekla,
& Hayes, 2020; Schimmenti, Billieux, & Vladan, 2020; Shah, Kamrai, Mekala, Mann, & Desai, 2020; Wallace et al., 2020) that brings upon fear of the unknown. This calls for a paradigm shift, by creating a lens that recognizes strengths, assets, hopes, and potential of individuals during this pandemic, resulting in the emergence of resilience research and a shift from a problem-oriented approach towards an approach that

We have commissioned 14 embroidered panels from the Mapula Embroidery Project in the Winterveld, just north of Pretoria. The idea is that the making of the works will provide project members with opportunities to convey their observations about the impact of the disease on their lives and community, while also gleaning a much-needed income during this difficult time. Our plan is to exhibit the works in the gallery that is part of our facility when this is feasible, and to show time this show to coincide with a conference on representations of pandemics.

I have done extensive research on the

The spread of COVID-19 can be contained by taking appropriate measures - like wearing of masks, social distancing, use of hand sanitizers, staying indoors if someone has symptoms of COVID-19 etc. From public health perspective there is a need to monitor if an individual is following the protocols laid down to prevent the spread of COVID-19. Continuous monitoring becomes even more difficult at places which has large congregation of people, for e.g. malls, Universities, stadiums etc. The use of robotics along with applications built on top of it can assist with the monitoring and to make sure

In the era of the global COVID-19 pandemic, questions remain about the pathophysiology, and the severity markers and potential treatment targets. In high HIV prevalence settings, the burden of COVID-19 is yet to be documented, and how these two pandemics will collide and interact remains to be seen. Health care teams would like to understand and pre-empt the cytokine storm that is associated with SARS-CO-V-2 infection, and would like to target those at highest risk of disease severity. We raise some questions in this study in an aid to better understand the interaction between SARS-Co-V-2

This project has employed computational (in silico) methods to design a novel class of inhibitors against the SARS-CoV-2 virus (COVID-19). The project has employed state-of-the-art computer-aided drug design (CADD) methods to develop an initial library of putative small molecule inhibitors. Because the compounds are novel, our research group will spend the next 6-18 months synthesizing and characterizing several of the test agents to produce pure, well-characterized compounds for screening. This will be followed by biophysical studies to delineate the binding of the test compounds to the