Project Title

Modelling, predicting and risk assessment of Mpox and emerging zoonotic threats to inform decision-making and public health actions: mathematical, geospatial and machine learning approaches.

Funding Agencies:

Team:

• Woldegebriel Assefa Woldegerima (Team Leader, wassefaw@yorku.ca)
• Jianhong Wu
• Ali Asgary
• Jude Kong
• Nicola Bragazzi
• James Orbinski
• Sarah Flicker
• Nicholas Ogden (Knowledge User)

Trainees:

• Dr. Chigozie Ugwu
• Dr. Qi Deng

Subprojects:

1. Artificial Intelligence for infectious disease prediction, geospatial analysis and risk map assessment.
2. One-health mathematical modelling approach to mpox, (re)emerging zoonotic threats and their impact on STIs: developing and analyzing mathematical models for Mpox and zoonotic threats by considering pharmaceutical and non-pharmaceutical interventions, incorporating data from epidemiological studies and other relevant sources. The impact of HIV and other STI on Mpox carriers.
3. Modelling and investigating of socio-economic factors, sex/gender, environmental and climate change, and behavioural changes; effects of the mpox virus on othersexually transmitted and blood-borne infections.