Search results

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

The concept of wastewater-based epidemiology (WBE) has been used extensively for the detection of drug use patterns and disease incidence from a population perspective. Recently researchers have proposed SARS-CoV-2 sewage-monitoring plan as a form of an early warning system. It can have an important effect on health systems; facilitate informed decisions on movement restriction for the local population, especially in resource-constraint countries like South Africa. Therefore, the research will focus on using wastewater-based epidemiology to determine COVID-19 infection hotspots and develop an

The brief purpose of this study is to determine the patient-reported outcomes of participants recovering from COVID-19. This is a longitudinal study seeking to study the same population over a period of 12 months in intermittent timepoints. This study will collect data and assess the change in reported outcomes by participants over a period of 12 months. With the current design, assess the mean change averaged across the repeated outcome data. Assess the change in reported outcome over time for patients that had a mild diagnosis, acute and critical. Therefore, the primary hypothesis of the

This project performs a Continuum Fluid Dynamics CFD study of droplet based transmission and airborne transmission for Tuberculosis (TB) and COVID-19 scenarios in a Taxi environments. The final goal of the study is to guide development of disruptive and innovative interventions for a Taxi to mitigate risk of transmission, despite full loads and long travel irmes, for the driver and the passengers. These interventions could be operating procedures, mechanical devices and sanitisation systems. Their efficacy must be target and deployed based on an understanding of the fluid dynamics affecting

This project is a large interdisciplinary partnership of Doctors, Public Health Researchers, Data Scientists, Physicists and Engineers. It combines the data sets represented by several sources, including images of chest X-rays, audio recordings of coughs and set sentences, and Natural Language Processing applied to clinician data of patient interviews, and possible from wearable diagnostic devices. The Artificial Intelligence (AI) solution is a weakly supervised Deep Learning network. Its novel in the range of data sources which are unified and then presented coherently to a common AI engine

This project performs a Continuum Fluid Dynamics CFD study of droplet based transmission and airborne transmission for Tuberculosis (TB) and COVID-19 scenarios in real clinical environments. The study focuses on the probability of infection for either disease as a function of the environment and how the environment is engineered. The CFD is extended to be able to model a phenomenological medical parameter of infectiousness as a function of droplet based physical, chemical and medical parameters, as they evolve in the ambient and local fluid flow environment. The local environment is realistic