SSATAN-X

SSATAN-X accelerates stochastic simulation of pathogen spreading dynamics on time-evolving adaptive networks to enable efficient analysis of coupled contact and infection processes.

Key Features:

• Efficient Simulation: Focuses simulation on contact dynamics that directly influence pathogen spread, achieving up to a 100-fold speed-up compared to traditional stochastic simulation algorithms (SSA).
• Adaptive Network Modeling: Models systems where contact and infection dynamics are interdependent, capturing feedback between transmission and risk-behavior–driven contact changes.
• Scalability and Applicability: Delivers pronounced efficiency gains for fast-evolving contact networks with short-lived contacts and low per-exposure infection risks typical of many infectious diseases.
• Benchmarking Support: Enables generation of benchmark datasets for validation of numerical methods and for data-driven analyses of spreading dynamics on adaptive networks.

Scientific Applications:

• Epidemiological modeling: Facilitates study of transmission dynamics in adaptive-contact settings to inform prevention and containment strategies.
• Method validation: Provides benchmark datasets and simulations to validate new numerical methods and simulation techniques for infectious-disease spread.
• Policy and cost-effectiveness analysis: Supports analyses of intervention impact and policy decisions that depend on accurate simulation of coupled contact–infection dynamics.

Methodology:

SSATAN-X simulates only contact events that are relevant to pathogen spread and optimizes which interactions to simulate based on their impact on spreading dynamics.