Title of article :
Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
Author/Authors :
Nyabadza, F University of Johannesburg - Auckland Park Kingsway Campus - Johannesburg, South Africa , Chirove, F University of Johannesburg - Auckland Park Kingsway Campus - Johannesburg, South Africa , Chukwu, C. W University of Johannesburg - Auckland Park Kingsway Campus - Johannesburg, South Africa , Visaya, M. V University of Johannesburg - Auckland Park Kingsway Campus - Johannesburg, South Africa
Abstract :
The novel coronavirus (COVID-19) pandemic continues to be a global health problem whose impact has been significantly felt in
South Africa. With the global spread increasing and infecting millions, containment efforts by countries have largely focused on
lockdowns and social distancing to minimise contact between persons. Social distancing has been touted as the best form of
response in managing a rapid increase in the number of infected cases. In this paper, we present a deterministic model to
describe the impact of social distancing on the transmission dynamics of COVID-19 in South Africa. The model is fitted to data
from March 5 to April 13, 2020, on the cumulative number of infected cases, and a scenario analysis on different levels of social
distancing is presented. The model shows that with the levels of social distancing under the initial lockdown level between
March 26 and April 13, 2020, there would be a projected continued rise in the number of infected cases. The model also looks at
the impact of relaxing the social distancing measures after the initial announcement of the lockdown. It is shown that relaxation
of social distancing by 2% can result in a 23% rise in the number of cumulative cases whilst an increase in the level of social
distancing by 2% would reduce the number of cumulative cases by about 18%. The model results accurately predicted the
number of cases after the initial lockdown level was relaxed towards the end of April 2020. These results have implications on
the management and policy direction in the early phase of the epidemic.
Keywords :
COVID-19 , South Africa , Potential
Journal title :
Computational and Mathematical Methods in Medicine