A Network-Based Epidemic Simulation Model for Assessing Non-pharmaceutical Interventions

Epidemic Spread and Control Strategies: A Spatial-individual Agent-based Modeling and Optimization Approach.

A spatial-individual agent-based model is developed that integrates fine-grained spatiotemporal dynamics, where transmission risk is quantified by the exact distance and duration of contact and provides data-driven guidance for optimizing public health policies on campuses.

Imperfect vaccination and coupled epidemic dynamics in age-structured multiplex networks.

A network-based dynamical model that couples susceptible-infected-recovered-vaccinated (SIRV) transmission with an evolutionary vaccination game is developed and identifies age-specific contact patterns as a key structural factor in behavior-transmission coupling.

Mobility and Contact Networks Shape Epidemic Outcomes: A Large-Scale Agent-Based Modeling Study

In models where mobility has not been carefully calibrated, simulated epidemic outcomes and evaluations of interventions may reflect mobility assumptions as much as underlying disease parameters, which underscores the importance of mobility model calibration and validation.

Applied Mathematical Modelling

Multi-scale local network structure critically impacts epidemic spread and interventions

Network epidemic simulation enables fine-grained understanding of epidemic behavior. However, empirical samples of interaction networks display properties that are challenging to capture with popular synthetic models of networks. Our empirical results show that epidemic spread behavior is sensitive to a form of multi-s...

Evaluating the Impact of Epidemic Control via State-Dependent Markovian Switching Modeling

An exact finite-population stochastic framework for SIR epidemics evolving under Markovian switching between intervention regimes is developed, showing how switching mechanisms affect both the total number of infected individuals and the extinction time, including their dispersion.