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There is a pressing need to rapidly simulate accurate complex conceptual models (Agent-based Models) for the spread of an epidemic within a population. Accurate agent-based models allow for thorough scenario planning allowing on to simulate the impact of extensive external factors. This research aims at understanding how one might reduce the parameterization time of a complex conceptual model without reducing its accuracy. This understanding will be enriched by tapping into state-of-the-art (SOTA) research in online and offline machine learning (ML) algorithms for surrogate models.

The objective of this research is to comparatively assess the changes in dietary habits of various populations during the COVID-19 lockdown and to also determine the effect this has on people’s health. As a result of the lockdown situation to combat the spread of COVID-19, movements have been restricted, offices have also been closed and staff asked to work from home except for essential services. This has affected people’s eating habits and brought about changes in their dietary patterns. With time, these changes may have adverse effects on the health of people especially if the changes

Accumulating data confirms that coronaviruses are not restricted to the respiratory system and that they are able to invade the central nervous system leading to neurological disorders. Nonetheless, studies to date of COVID-19 have primarily focussed on morbidity and/or pulmonary function, but within the literature neurologic signs have been recorded in some patients and include headache, vomiting, hyposmia, impaired consciousness, stroke and encephalopathy. It is likely that as a result of the current pandemic, many COVID-19 patients will sustain brain injury through hypoxia or other poorly

Wastewater monitoring has been successfully used to identify illicit drug hotspots, and track and provide early warnings of occurrences of pathogenic viruses such as Hepatitis A and Norovirus. Likewise, there is a potential value in using wastewater surveillance to monitor the existence and spread of the novel Covid-19 virus in communities. Due to the multiple shedding routes ( through saliva, respiratory secretions, urine and faeces) of the virus from infected individuals, the COVID-19 virus, or at least its RNA strands, may reach collection systems and water resources recovery facilities

With the economic and practical limits of medical screening for SARS-CoV-2/COVID-19 coming sharply into focus worldwide, scientists are turning now to wastewater-based epidemiology (WBE) as a potential tool for assessing and managing the pandemic. This approach is built on the knowledge that some infected persons shed viral particles/RNA in their stool as a result of gastrointestinal infections (GI) and other excreta. Early reports from Wuhan, China, showed that abdominal pain (an indication of GI infections) was reported more frequently in patients admitted into intensive care, than

In order to capture the nature and the impact of Covid-19 on South African society, the University of Johannesburg’s Centre for Social Change (CSC) and the Developmental, Capable and Ethical State (DCES) research division at the Human Sciences Research Council (HSRC) undertook an online cross-sectional survey, which was initiated on 13 April 2020 and fielded until the 14 May. The main aim of this UJ-HSRC Covid-19 Democracy Survey was to determine public perceptions of the economic, social and political impact of Covid-19 on life across the country. This research will continue with further