Modelling the dynamics of phytoplankton competing for light and nutrients in stratified lake
Modelling the dynamics of bacteria and bacteriophage in the environment.
Modelling indirectly transmitted infectious disease (cholera). This is in collaboration with Zhisheng Shuai
Modelling the ransmission dynamics of COVID-19 in a theme park. In collaboration wth Jane Heffernan
Applying artificial intelligence to develop advanced visualization and analytics tools that will assist policy makers; now-casting and forecasting of a second pandemic wave to inform healthcare planning; determining initial disease spread characteristics within communities prior to non-pharmaceutical interventions (NPI) introduction; employing mathematical models to examine NPI effectiveness, in particular the effect of a home quarantine policy, social distancing interventions, tracing apps, testing and isolation on the epidemic development; determining NPI effects on healthcare demand; determining the effects of vaccination on the NPI uptake needed for post-vaccine waves of infection; developing an overarching economic-epidemiological model for scientists and policy-makers; build spatial disease spread models and simulations for the outbreak of COVID-19 at a localized level to model the effects of informal settlements and varying social distancing practicalities in townships, performance of hotspot analysis, and the identification of vulnerable areas; analyses of outbreak data in specific settings (e.g. households, hospitals). In collaboration with the Laboratory for Industrial and Applied Mathematics (LIAM), the Dahdaleh Institute for Global Health Research (https://dighr.yorku.ca) and the Advanced Disaster (ADERSIM) , Emergency and Rapid Response Program at York University and epidemiologists, modelers, physicists, statisticians, software engineers and data scientists across Africa institutions in Africa