TL;DR
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.
Within the assumptions and intervention configurations examined, the hybrid strategy provided the strongest epidemic control; however, it should be interpreted as a full-compliance counterfactual rather than as a reconstruction of observed behavior.
SW-SEIQR is presented, an individual-based epidemic model in which individuals are represented as nodes of a Watts–Strogatz small-world contact network, which indicates that highly effective risk-reduction measures, such as high-quality mask use, can substantially reduce disease transmission even when adopted by only a...
Investigating contagion dynamics using an agent-based model of Active Brownian Particles shows that microscopic active-matter models provide a powerful framework for investigating epidemic dynamics beyond the assumptions of well-mixed population models and reveals how spatial organisation and individual protection join...
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.
Although the model assumes homogeneous mixing and simplifies certain operational aspects of intervention deployment, it offers a mathematically grounded and practically relevant framework for rapid-response policy design, contributing to the integration of epidemiological dynamics and economic optimization in infectiou...
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.
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