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2090-12-31
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SARS-COV-2 AFRICA DASHBOARD FOR REAL-TIME COVID-19 INFORMATION
Author
Affilliation
Centre for Epidemic Response and Innovation. School of Data Science and Computational Thinking. Stellenbosch University. Stellenbosch, South Africa/Institute of Agricultural Sciences. Universidade Federal dos Vales do Jequitinhonha e Mucuri. Unaí, MG, Brazil/Instituto René Rachou. Fundação Oswaldo Cruz. Belo Horizonte, MG, Brazil.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa/KwaZulu-Natal Research Innovation and Sequencing Platform. Nelson R. Mandela School of Medicine. University of KwaZulu-Natal. Durban, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa/KwaZulu-Natal Research Innovation and Sequencing Platform. Nelson R. Mandela School of Medicine. University of KwaZulu-Natal. Durban, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Systems and Computational Biology. Bio 21 Institute. University of Melbourne. Melbourne, Victoria, Australia/Computational Biology and Clinical Informatics. Baker Heart and Diabetes Institute. Melbourne, Victoria, Australia/School of Chemistry and Molecular Biosciences. University of Queensland. Brisbane, Queensland, Australia.
Centre for Epidemic Response and Innovation. School of Data Science and Computational Thinking. Stellenbosch University. Stellenbosch, South Africa/Centre for the AIDS Programme of Research in South Africa. Durban, South Africa.
Systems and Computational Biology. Bio 21 Institute. University of Melbourne. Melbourne, Victoria, Australia/Computational Biology and Clinical Informatics. Baker Heart and Diabetes Institute. Melbourne, Victoria, Australia/School of Computing and Information Systems. University of Melbourne. Melbourne, Victoria, Australia.
Centre for Epidemic Response and Innovation. School of Data Science and Computational Thinking. Stellenbosch University. Stellenbosch, South Africa/ KwaZulu-Natal Research Innovation and Sequencing Platform. Nelson R. Mandela School of Medicine. University of KwaZulu-Natal. Durban, South Africa/ Centre for the AIDS Programme of Research in South Africa. Durban, South Africa/Department of Global Health. University of Washington. Seattle, WA, USA.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa/KwaZulu-Natal Research Innovation and Sequencing Platform. Nelson R. Mandela School of Medicine. University of KwaZulu-Natal. Durban, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa/KwaZulu-Natal Research Innovation and Sequencing Platform. Nelson R. Mandela School of Medicine. University of KwaZulu-Natal. Durban, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Systems and Computational Biology. Bio 21 Institute. University of Melbourne. Melbourne, Victoria, Australia/Computational Biology and Clinical Informatics. Baker Heart and Diabetes Institute. Melbourne, Victoria, Australia/School of Chemistry and Molecular Biosciences. University of Queensland. Brisbane, Queensland, Australia.
Centre for Epidemic Response and Innovation. School of Data Science and Computational Thinking. Stellenbosch University. Stellenbosch, South Africa/Centre for the AIDS Programme of Research in South Africa. Durban, South Africa.
Systems and Computational Biology. Bio 21 Institute. University of Melbourne. Melbourne, Victoria, Australia/Computational Biology and Clinical Informatics. Baker Heart and Diabetes Institute. Melbourne, Victoria, Australia/School of Computing and Information Systems. University of Melbourne. Melbourne, Victoria, Australia.
Centre for Epidemic Response and Innovation. School of Data Science and Computational Thinking. Stellenbosch University. Stellenbosch, South Africa/ KwaZulu-Natal Research Innovation and Sequencing Platform. Nelson R. Mandela School of Medicine. University of KwaZulu-Natal. Durban, South Africa/ Centre for the AIDS Programme of Research in South Africa. Durban, South Africa/Department of Global Health. University of Washington. Seattle, WA, USA.
Abstract
The SARS-CoV-2 Africa dashboard is an interactive tool that enables visualization of SARS-CoV-2 genomic information in African countries. The customizable app allows users to visualize the number of sequences deposited in each country, and the variants circulating over time. Our dashboard enables near real-time exploration of public data that can inform policymakers, healthcare professionals and the public about the ongoing pandemic.
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