Data about the virus that causes COVID-19 and its variants is constantly evolving, which has made it challenging for decision makers to predict the outcome of proposed preventative policies.
A collaborative research project between Brock University and the University of Alberta is harnessing the power of machine learning and artificial intelligence (AI) to better predict scenarios related to the COVID-19 virus. The project feeds COVID-19 data sets, such as Google mobility data, temperature and number of intensive care unit beds, into an AI algorithm to help forecast policy outcomes and advance scientific research.
When implemented, the technology can provide scientists and policy-makers with the information needed to recognize outlying patterns and predict outcomes of pandemic-related policies up to 10 weeks in the future. It will also help regional public health units make more informed decisions for their communities.
For more information, visit Brock University.
