Mathematical modeling
Network-Based SEIRV Epidemic Modeling
An age-structured network SEIRV model with mobility, stochastic dynamics, and calibration to observed epidemic data.
- Year
- 2026
- Status
- Ongoing
- Topics
- Epidemic models · Networks · Simulation
A conceptual illustration of the mathematical idea, not a plot of measured experimental results.
The question
How do age structure, mobility, vaccination, and uncertainty jointly shape an epidemic trajectory?
Central insight
Population compartments are not isolated curves: mobility couples many local dynamical systems, while interventions change both state transitions and network exposure.
Approach
- 01
Represent age and location groups as coupled compartments.
- 02
Model mobility as a time-dependent interaction network.
- 03
Include stochastic transitions and vaccination dynamics.
- 04
Calibrate uncertain parameters against epidemic observations.
My contribution
- Developing the networked mathematical model.
- Building the simulation and calibration pipeline.
- Studying sensitivity to mobility and intervention assumptions.
Result
Ongoing work focused on interpretable, data-calibrated comparisons of intervention scenarios.
What remains
Quantify parameter uncertainty and compare policy conclusions across model resolutions.