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UJ develops intelligent technology to estimate probability of infection for COVID-19

It has now been confirmed that South Africa has entered a second wave of Covid-19, with an increase in the number of infections, daily. In the midst of the crisis caused by this  global pandemic, a wide range of solutions are required to mitigate the risk of exposure to the virus – from developing low-cost ventilators and Personal Protective Equipment (PPEs), as well as understanding how the virus is transmitted and the rate of infection. In light of this, a joint team from the University of Johannesburg’s (UJ) Faculty of Engineering and the Perinatal HIV Research Unit (PHRU) at the University of the Witwatersrand has developed an interdisciplinary  research project that seeks to estimate the time evolving probability of infection using droplets and surface films in selected environments.

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