A collaboration led by 91ÑÇÉ« researchers in the Faculty of Liberal Arts & Professional Studies (LA&PS), the Faculty of Science and the Faculty of Health is using artificial intelligence (AI) to define public health policies and interventions to contain and manage the spread of COVID-19 in Africa.
With a scarcity of COVID-19 vaccines in many African countries and the rise of new variants of concern, ³Ù³ó±ðÌýAfrica-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC) is playing a pivotal role in providing locally nuanced analysis of data to inform public health decision making, as well as vaccination rollout strategies.
The interdisciplinary consortium is directed by 91ÑÇÉ« Professor from the Faculty of Science. Also serving on the executive committee from 91ÑÇÉ« are: Distinguished Research Professor , director of the in the Faculty of Science and ACADIC co-president; Professor James Orbinski, director of the Dahdaleh Institute for Global Health Research and ACADIC executive committee member; and LA&PS Associate Professor , associate director of the and ACADIC executive committee member. ACADIC brings together an interdisciplinary team of data scientists, epidemiologists, physicists, mathematicians and software engineers, as well as AI, disaster and emergency management, clinical public health, citizen science and community engagement experts. It is leveraging big data and AI-based techniques in nine African countries, with experts from 11 different countries – Botswana, Cameroon, Canada, Eswatini, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Zambia and Zimbabwe.
These techniques help identify and analyze emergent COVID-19 hotspots and outbreaks, and develop strategic, highly targeted and staged delivery plans for vaccines to priority areas. The team is also using ongoing monitoring to enhance COVID-19 testing to ensure public health interventions are equitable and effective.
Half of the world’s doses of vaccines have been secured by a handful of economically developed countries, but most African nations have received very few and continue to prepare and test their vaccination campaigns for when sufficient vaccine doses are made available.
A defining challenge is to develop local strategies that will reduce the number of COVID-19 cases, even as variants of concern circulate amidst a dearth of vaccines.
Some areas of focus for 91ÑÇÉ« researchers involved in ACADIC include:
- making big data and AI actionable for real-time delivery of reliable and comprehensive information to predict the spread and impact of an epidermic, and to guide governmental policies and best practice in an epidemic;
- the role of big data and AI in understanding and intervening in pandemics;
- big data, AI and COVID-19 in Africa;
- ³Ù³ó±ðÌý;
- vaccine acceptance/hesitancy across Africa;
- incorporating AI and mathematical modelling for smart vaccination rollout in vaccine-limited regions;
- clinical public health practices in epidemics and pandemics;
- intervention systems in disasters and health emergencies;
- disease dynamics and modelling;
- transferring lessons learned from mass vaccination simulation to Africa;
- disease modelling and simulation in refugee camps in Africa; and
- use of AI to model economic impacts of COVID-19 in Africa.