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:
![](https://www.yorku.ca/research/yemerge/wp-content/uploads/sites/681/2024/03/aa.png)
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![](https://www.yorku.ca/research/yemerge/wp-content/uploads/sites/681/2024/03/v.png)
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:
- Artificial Intelligence for infectious disease prediction, geospatial analysis and risk map assessment.
- 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.
- 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.