Using Data Science to Fight COVID-19 Session |
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This webinar discusses the COVID-19 situation in Africa and presents application examples of Data Science for disease management. A panel of experts touches on topics such as disease surveillance, generating dashboards with the latest statistics, and mining of text or social media to discover trends. Other topics include data-interoperability, publication tracking, disease burden and mortality, and the effect of COVID-19 on diseases like HIV and malaria.
Moderators: - Stefan Jaeger, Ph.D., National Library of Medicine, National Institutes of Health - Cecile Viboud, Ph.D., Fogarty International Center, National Institutes of Health Panelists: - Agnes Kiragga, Ph.D., Head of Statistics and Data Management Unit and Senior Research Scientist, Infectious Diseases Institute (IDI), Makerere University College of Health Sciences - Nirmal Ravi, MD, Ph.D., Director for Medical and Scientific Affairs, E-Health Africa, and Chief Innovation Officer, EHA Clinics - Ali H. Mokdad, Ph.D., Professor of Health Metrics Sciences, the Institute for Health Metrics and Evaluation; Chief Strategy Officer, Population Health at the University of Washington - Elaine Nsoesie, Ph.D., Assistant Professor of Global Health, Boston University School of Public Health - Frank Kagoro, M.D., MSc, Research Physician, MORU Tropical Health Network and WorldWide Antimalarial Resistance Network; PhD Candidate, University of Cape Town |