2026-10-13T11:02:23Z https://www.scidb.cn/oai

10.57760/sciencedb.39530 2026-06-23T19:35:07Z

2026-06-23 SEPA (Simulator Epidemi Penyakit Airborne) doi:10.57760/sciencedb.39530 en SEPA (Airborne Disease Epidemic Simulator) is a high-granularity, agent-based computational tool designed for educational research and macro-epidemiological policy simulation. Developed using Python 3.8+ , the platform transitions beyond traditional homogeneous compartmental mathematical models (e.g., standard SIR models) by simulating stochastic micro-interactions and spatial heterogeneity within dense human populations.The simulator evaluates airborne pathogen transmission risks based on real-time Euclidean distance thresholds per simulation tick. A core scientific contribution of SEPA is its dynamic, responsive immunological framework. Rather than treating individual immunity as a static value, each agent is initialized with a Gaussian distributed immune status that actively degrades based on physical locomotion constraints (fatigue) and fluctuates via localized environmental modifiers.Key Technical Features:Spatial Heterogeneity: Integrates six distinct parametric city layouts (e.g., commercial centers, residential areas, industrial zones) to model varying demographic densities and structural movement restrictions.Strict Structural Constraints: Implements strict vector-reflection collision detection to prevent agent overlaps with physical obstacles, ensuring spatial realism.Real-Time Intervention Control: Allows users to manually deploy and toggle localized policy interventions, including centralized healthcare vaccination zones, distributed random immunization sectors, and high-contamination infection zones.Analytical Dashboards & Data Interoperability: Displays active epidemiological curves and comprehensive analytical counters with a real-time data export system to CSV formats for external statistical validation. Agent-Based Modeling; Airborne Disease Dynamics; Epidemic Simulation; Spatial Heterogeneity; Public Health Policy; Immunological Modeling; Python-based Simulator Khairil Asnan H PUBLIC https://mit-license.org dataset Science Data Bank