Epidemiological Forecasting & Mathematical Biological Modeling Unit
Building mathematical models of infectious disease dynamics to forecast outbreaks and optimize public health interventions.
Research Mission
The Epidemiological Forecasting & Mathematical Biological Modeling Unit develops mathematical models of infectious disease transmission, epidemic dynamics, and public health intervention effectiveness — providing the quantitative forecasting tools needed for outbreak response, pandemic preparedness, and health security planning. The unit applies differential equation modeling, agent-based simulation, statistical inference, and machine learning to characterize disease spread and evaluate the impact of interventions across diverse epidemiological contexts.
Key Research Functions
Epidemic Forecasting
Developing and running epidemic forecasting models that project case trajectories, healthcare demand, and mortality under different scenarios — providing the quantitative projections that inform public health decision-making during outbreaks.
Intervention Modeling
Modeling the effectiveness of public health interventions — vaccination campaigns, non-pharmaceutical measures, treatment protocols — to identify optimal strategies that minimize disease burden within operational and resource constraints.
Real-Time Analytics
Developing real-time epidemic analytics systems that estimate transmission parameters, detect acceleration, and identify geographic hotspots from surveillance data — providing situational awareness for outbreak response operations.
Research Capabilities
Directorate of Advanced Research & Applied Sciences
Join This Research Unit
Pacific 7.0 International recruits scientists, engineers, and researchers committed to advancing knowledge in service of global security and humanitarian protection.