Joy Kitson
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Simulating nationwide coupled disease and fear spread in an agent-based model Open
Human cognitive responses, behavioral responses, and disease dynamics co-evolve over the course of any disease outbreak, and can result in complex feedbacks. We present a dynamic agent-based model that explicitly couples the spread of dise…
Why population heterogeneity matters for modelling infectious diseases Open
The COVID-19 pandemic highlighted significant differences in infectious disease burden among sociodemographic groups in the United States, underscoring the need for modelling approaches that can capture the complex dynamics driving these h…
Data for: "Simulating nationwide coupled disease and fear spread in an agent based model" Open
This record contains the data to be publicly released in order to support the publication of the paper "Simulating nationwide coupled disease and fear spread in an agent based model". These data consist of binary output files from EpiCast,…
Epicast 2.0: A large-scale, demographically detailed, agent-based model for simulating respiratory pathogen spread in the United States Open
The recent history of respiratory pathogen epidemics, including those caused by influenza and SARS-CoV-2, has highlighted the urgent need for advanced modeling approaches that can accurately capture heterogeneous disease dynamics and outco…
Pandemics In Silico: Scaling an Agent-Based Simulation on Realistic Social Contact Networks Open
Preventing the spread of infectious diseases requires implementing interventions at various levels of government and evaluating the potential impact and efficacy of those preemptive measures. Agent-based modeling can be used for detailed s…
Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies Open
Despite the necessity of Global Climate Models (GCMs) sub‐selection in downscaling studies, an objective approach for their selection is currently lacking. Building on the previously established concepts in GCMs evaluation frameworks, we d…