Tracking community movements through real-time visualization and predictive analytics to manage the spread of COVID-19
As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, civic authorities and local business to make a decision regarding its community movement. It will be an effective tool to practice implementable social distance norms helping citizens to identify hot spot places and times which will help stop the spread of the virus. It’s a transparent crowdsourced data collection project currently in touch with health and civic authorities in Prince Edward Island (PEI) and Nova Scotia (NS) for data collection.