GRAPHICAL USER INTERFACE WITH APPLICATIONS IN SUSCEPTIBLE-INFECTIOUS-SUSCEPTIBLE MODELS.

Area of Science:

• Epidemiology
• Mathematical Biology
• Computational Science

Background:

• Understanding infectious disease dynamics is crucial in the contemporary world.
• Mathematical modeling has a long history in studying epidemic spreading.
• Integrating statistical methods and simulations enhances the realism of epidemiological models.

Purpose of the Study:

• To develop a more realistic and reliable epidemiological model.
• To enhance the understanding of epidemic spreading mechanisms.
• To simplify the interaction with complex epidemiological models through a graphical user interface.

Main Methods:

• Utilized compartmental models to represent population dynamics in disease transmission.
• Developed a graphical user interface (GUI) using MATLAB software (ver. 7.6.0) for data visualization.
• Created three separate files: one for the mathematical model and two for the GUI.

Main Results:

• Observed a decrease in susceptible individuals as infectious individuals increased in a fixed population.
• Demonstrated that without intervention, epidemics can persist indefinitely.
• Showcased how altering SIS model parameters can accelerate the increase of infectious individuals.

Conclusions:

• The developed GUI simplifies interaction with complex epidemiological models through visual elements.
• The GUI facilitates easier organization of programs and files for epidemiological analysis.
• Numerical simulations presented illustrate the theoretical analysis of disease dynamics.