Managing and assembling population-scale data streams, tools and workflows to plan for future pandemics within the INFORM-Africa Consortium

Authors

  • Jenicca Poongavanan Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa https://orcid.org/0000-0002-8730-1046
  • Joicymara Xavier 1.Institute of Agricultural Sciences, Federal University of Vales do Jequitinhonha e Mucuri, Unaí, Brazil; 2.René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Brazil; 3.Institute of Biological Science, Federal University of Minas Gerais, Belo Horizonte, Brazil https://orcid.org/0000-0002-4649-6270
  • Marcel Dunaiski Department of Computer Science, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa https://orcid.org/0000-0003-1957-3979
  • Houriiyah Tegally 1.Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa; 2.KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa https://orcid.org/0000-0002-7102-8540
  • Sunday O. Oladejo Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa https://orcid.org/0000-0001-9573-5189
  • Olawole Ayorinde Institute of Human Virology, Abuja, Nigeria https://orcid.org/0000-0003-3454-3081
  • Eduan Wilkinson Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa https://orcid.org/0000-0002-2503-9441
  • Cheryl Baxter 1.Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa; 2.Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa https://orcid.org/0000-0002-6033-7655
  • Tulio de Oliveira 1.Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa; 2.KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa; 3.Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa; 4.Department of Global Health, University of Washington, Seattle, WA, USA https://orcid.org/0000-0002-3027-5254

DOI:

https://doi.org/10.17159/sajs.2023/14659

Keywords:

INFORM-Africa data management, collaboration, SARS-CoV-2, HIV

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Published

2023-05-30

Issue

Vol. 119 No. 5/6 (2023)

Section

Perspective

License

Creative Commons License
All articles are published under a Creative Commons Attribution 4.0 International Licence

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How to Cite

Poongavanan, J., Xavier, J., Dunaiski, M., Tegally, H., Oladejo, S. O., Ayorinde, O., Wilkinson, E., Baxter, C., & de Oliveira, T. (2023). Managing and assembling population-scale data streams, tools and workflows to plan for future pandemics within the INFORM-Africa Consortium. South African Journal of Science, 119(5/6). https://doi.org/10.17159/sajs.2023/14659

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