Develop a web based geospatial artificial intelligence framework to track, visualize, analyze, model, and predict infectious disease spread in real-time.

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze large amounts of spatial data, such as individual-level epidemiological data, social media, human mobility, transportation, mobile phone data, and vulnerable populations. We will develop a Web based GeoAI framework to track, visualize, analyze, model, and predict infectious disease spread in real-time. The framework will analyze and simulate the transmission dynamics of the COVID-19 outbreak to predict trends in the demographic characteristics and the dynamics of the viral spread. Our Web based GeoAI framework will help Canadians understand how epidemics such as COVID-19 spread, what activities put people at risk, and where the next coronavirus hotspots are likely to be in Canada.

Faculty Supervisor:

Longhai Li;Kin-Choong Yow

Student:

Noah Little;Lifang Ivy Lei;Man Chen;Soheil Ahmadi Vosta Kolaei;Gurmail Singh

Partner:

Super GeoAI Technology Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Program: