COVID-19 Transmission model

COVID-19 Transmission model simulates and evaluates transmission risks of COVID-19 within indoor facilities using an agent-based framework to capture spatiotemporal spread and assess mitigation scenarios.

Key Features:

• Agent-Based Modeling Framework: Represents individual agents (people) with distinct behaviors and interactions rather than assuming population homogeneity.
• Spatiotemporal Simulation: Simulates agent movement and interactions over space and time to model transmission events based on spatial patterns and infection conditions.
• Individual Profiles: Assigns each agent unique social characteristics and health conditions that influence behavior and contact patterns.
• Scenario Analysis: Evaluates hypothetical intervention and operational scenarios to compare impacts on transmission risk within facilities.

Scientific Applications:

• Facility-specific transmission assessment: Estimates COVID-19 transmission dynamics in workplaces, educational institutions, and retail spaces.
• Intervention evaluation: Compares the relative effects of different mitigation scenarios on reducing transmission risk.
• Support for public health decision-making: Provides scenario-based evidence to inform researchers and policymakers about facility-level risk management.

Methodology:

Agents are programmed with rules that dictate interactions based on spatial and infection-related parameters; simulated interactions are analyzed to characterize transmission dynamics and incorporate individual variability.