Kekana lab
Integrating Math and AI to Tackle Infectious Diseases and Ecological Challenges
About Us
Where Mathematics, AI, and Ecology Converge for a Healthier Future
Core Research Themes
Our research is centered on three interconnected themes reflecting our commitment to addressing global health
01
Infectious Diseases and Epidemiology
- Modeling of diseases such as malaria, meningitis, measles, COVID-19, Lassa fever, cholera, etc.
- Use of SIR-type compartmental models, agent-based models, stochastic differential equations.
- Estimation of reproduction numbers, sensitivity analysis, and optimal control strategies.
02
Climate Change and Health
- Quantifying the relationship between climatic variables (e.g., temperature, rainfall) and disease outbreaks.
- Modeling the effects of climate adaptation strategies on disease dynamics.
- Assessing regional vulnerabilities using climate-health datasets and predictive analytics.
03
Artificial Intelligence and Data Science
- Machine learning for outbreak prediction and early warning systems.
- AI-supported diagnostics and decision tools in healthcare and climate risk management.
- Deep learning for analyzing satellite data and geospatial disease patterns.
- Linkages to the UN Sustainable Development Goals (SDGs)
mathematical lab
Modeling the Future: AI-Driven Insights for Health and Sustainability
our objectives
What We Aim to Achieve
We are an interdisciplinary research hub designed to harness mathematical modeling, statistical techniques, machine learning, and artificial intelligence (AI) to address complex global challenges related to public health, climate change, and sustainable development.
Building a Multidisciplinary Research Platform
To build a collaborative platform that brings together researchers from mathematics, epidemiology, ecology, and computer science to address complex public health and environmental challenges.
Modeling Infectious Disease Transmission
To develop and analyze mathematical models for understanding the transmission dynamics of infectious diseases, including emerging and re-emerging pathogens/viruses.
Strengthening Capacity and Mentorship in Modeling and Computation
To support capacity-building and mentorship by training early-career researchers, PhD students, and postdoctoral fellows in cutting-edge modeling and computational tools.
Partner Institutions
Let's work together