Author ORCID Identifier
https://orcid.org/0009-0009-9693-9277
Abstract
This study presents an agent-based model (ABM) to assess the resilience of New York State’s healthcare system during public health crises. The model simulates patient interactions, disease spread, and resource allocation, identifying critical vulnerabilities and evaluating strategies to avoid system collapse. Simulation results indicate that with just 10\% of the population infected, hospitals statewide can reach full capacity within ten days, causing significant care delays and an estimated 32,104 deaths within a 30-day period.
Sensitivity analysis revealed infection rates, base mortality, and travel-related delays as primary drivers of system outcomes. These findings highlight the critical need for expanded surge capacity, optimized patient routing, and timely interventions. The ABM serves as an essential tool for policymakers aiming to enhance healthcare preparedness and resilience against future crises.
Recommended Citation
Bedenbedner, Brandon
(2025)
"Agent-Based Modeling to Stress Test New York State Healthcare Robustness,"
Northeast Journal of Complex Systems (NEJCS): Vol. 7
:
No.
2
, Article 1.
DOI: https://doi.org/10.63562/2577-8439.1105
Available at:
https://orb.binghamton.edu/nejcs/vol7/iss2/1