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Forecasting COVID-19 propagation for the next six months in South Africa |
Applied Mathematics Department (NMU) |
Forecast the number of people contaminated, number of people recovered and number of deaths over the next 6 months. This information can be used by government for decision and policy making.
Questions to be addressed:
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Is lockdown effective?
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Should lockdown be extended after 16 April?
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Can the country and health system cope with new number of cases over the next 6 months
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Data collection, construction of polynomial under different scenarios, extrapolation, conclusion. |
A.R. Appadu, A. Kelil, Y. Tijani
rao.appadu@mandela.ac.za
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Mathematical modelling of COVID-19 transmission dynamics |
Biomathematics (Department of Mathematics and Applied Mathematics) |
Susceptible, Infected, Recovered populations in South Africa, SADC.
Department of Health for planning purposes, understanding, and possible implementation of recommendations |
Model formulations for various intervention measures, etc
Model analysis, data collection, numerical simulations, biological implications |
W. Mbava
willard.mbava@mandela.ac.za |
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Data analytics |
Physics |
Data Analysis |
Supply data |
Dr Lindsay Westraadt
lindsay.westraadt@mandela.ac.za |
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Forecasting for COVID- 19: spread of the infection, impact on economic growth and human development |
Centre of Expertise in Forecasting |
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Prof IN Litvine
igor.litvine@mandela.ac.za |
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Contact tracing |
CCT |
Extract aggregated data |
District Health Information System (DHIS)set up and backend queries to database |
Darelle Van Greunen
darelle.vangreunen@mandela.ac.za |
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HEAT Maps |
CCT |
Generate heatmaps |
Import from database to visualization tool |
Darelle Van Greunen
darelle.vangreunen@mandela.ac.za |