Activity #3742
openModule #3693: Big Data Analytics Platform and Tools for Epidemic Forecasting and Mitigation
Module #3696: Center for Epidemic Forecsting(EPIFORM)
User Interface Design (PyQt6)
100%
Description
Developed a modular PyQt6 GUI framework:
Compartmental model selection (SIR/SEIR/SIRS)
Custom color-coded plots with theming support
Dynamically updated plots using Matplotlib back-end
Implemented robust input handling and layout design
Added intervention modeling:
Introduced a vertical draggable line to simulate control measures (e.g., lockdown).
Adjusted transmission rate (β) after intervention dynamically.
Included additional outputs:
Hospitalized, Fatalities, and Basic Reproduction Number (R₀)
Designed the interface for:
Real-time, no-button simulations.
Two-way linked sliders and input fields.
Light/Dark theme toggle.
Updated by Prasidh J S about 1 year ago
Used the simulator to explore:
Disease progression under various β and γ values.
Effectiveness of interventions like social distancing.
Duration and impact of immunity in cyclical outbreaks.
Simulated hypothetical outbreaks to demonstrate modeling potential in public health policy planning.