Models and muddles in the COVID-19 pandemic

• Farai Nyabadza,
• Alex Broadbent,
• Charis Harley,
• Abejide Ade-Ibijola,
• Ebrahim Momoniat

Affiliations

Farai Nyabadza

1.Department of Mathematics and Applied Mathematics, University of Johannesburg, Johannesburg, South Africa; 2.Data Science Across Disciplines Research Group, Institute for the Future of Knowledge, University of Johannesburg, Johannesburg, South Africa

Alex Broadbent

Institute for the Future of Knowledge, University of Johannesburg, Johannesburg, South Africa

Charis Harley

1.Data Science Across Disciplines Research Group, Institute for the Future of Knowledge, University of Johannesburg, Johannesburg, South Africa; 2.Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

Abejide Ade-Ibijola

1.Data Science Across Disciplines Research Group, Institute for the Future of Knowledge, University of Johannesburg, Johannesburg, South Africa; 2.Department of Applied Information Systems, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa

Ebrahim Momoniat

1.Department of Mathematics and Applied Mathematics, University of Johannesburg, Johannesburg, South Africa; 2.Data Science Across Disciplines Research Group, Institute for the Future of Knowledge, University of Johannesburg, Johannesburg, South Africa