Informing mitigation of the effect of non-pharmacological COVID-19 interventions on the health and well-being of school-going children in rural KwaZulu-Natal

This study is situated in uMkhanyakude district, KwaZulu-Natal, South Africa (SA) where the Africa Health Research Institute (AHRI) conducts annual surveillance through its Population Intervention Platform (PIP). The overarching aim of the study is to investigate the effect of non-pharmacological…

The effect of exercise among COVID 19 patients at Thulamela municipality, Limpopo.

Study objectives
To determine risk factors of COVID 19, their challenges and to determine the effect of exercise.

The study population will be Tshilidzini & Donald Fraser hospital. The research will implement exercise intervention for 2 months. The aim will be to improve…

The South African COVID-19 Surgical Outcomes Study - A patient-centred research project piloting digital health at team (micro) level

Based on estimates by the COVIDSurg Collaborative,[1] large numbers of elective surgical procedures are cancelled during the disruption caused by the pandemic. It would take a median of 45 weeks to address if a country increases the usual surgical volume by 20% after the pandemic. It is crucial to…

A COVID-19 detection home kit

The research involves developing a simple home detection kit for COVID-19. The first stage of the project involves the identification of proteins from bacteria that has a binding affinity to specific sites on the SARS-CoV2 S protein. Computational analysis will investigate the binding potential of…

DETECTION AND MONITORING OF SARS-CoV-2 RNA FRAGMENTS IN WASTEWATER USING A MALDI-TOF MASS SPECTROMETER

The purpose of this study is to develop an analytical test method for the detection and quantification of SARS-CoV-2 RNA fragments in sewer wastewater, using a MALDI-TOF mass spectrometer. With this technology, we intend to obtain test results within a few minutes, thus enabling us to confirm the…

Identification of potential SARS-CoV-2 inhibitors from South African medicinal plant

-Our team identified compounds found in South African indigenous plants that would target SARS-CoV-2 using molecular docking
-We want to now take this further and commence In vitro studies as well as in vivo rat models

Quarantuning at the time of Coronavirus

This research project looks at how Quarantine was used as a preventative measure in the fight against Covid-19. It seeks to asses the impact of Quarantine towards flattening the curve. It also delves deeper into the concept of Quarantine and how South Africans got to experience it and apply it in…

Clinical effectiveness of lopinavir in the management of Covid-19 infection and prevention.

COVID-19 also known as Coronavirus 2019, is currently declared by WHO as a new pandemic
disease caused by a single-stranded RNA zoonotic virus termed severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) (Lu et al. 2020). The complete viral genome analysis shows that the…

Establishing a national COVID 19 wastewater and non-sewer based water quality survaillance programme

Surveillance of wastewater treatment plants offers an opportunity for near–real-time outbreak data and as an early warning for resurgence of the outbreak. To date, the wastewater-based epidemiology approach has been successfully piloted in developed countries where there is wide coverage of…

In vitro Molecular RNA-seq data for rapid diagonostic testing and validating RT-qPCR reference genes for studying respiratory specimens from Persons Under Investigation (PUIs), with Suspected or Confirmed Coronavirus Disease 2019 (COVID-19).

The SARS coronavirus (SCoV) appears to be zoonotic and to have originated in wild mammals in southern China. A coronavirus comprises single-stranded RNA inside a lipid envelope. Coronaviruses cause a substantial fraction of human colds and a number of common respiratory infections in other animals…

Understanding Droplet Transmission in a clinical environment

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…

Artificial Intelligence and Diagnosis based on Multiple Data Sources

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…