GUI-based health simulation tool for predicting pandemic spread using the SEIR model

This project presents a user-friendly Graphical User Interface (GUI) simulation tool designed to support healthcare professionals and researchers in visualizing and predicting the spread of infectious diseases using the SEIR (Susceptible-Exposed-Infectious-Recovered) model. The tool incorporates a Multistep Block Method, a numerical technique that improves computational efficiency compared to traditional Runge-Kutta methods. By allowing users to input disease parameters such as infection rate, incubation period, and recovery rate, the tool dynamically generates graphs and numerical outputs that illustrate the potential trajectory of an outbreak. This innovation addresses the need for accessible, real-time decision support in public health, enabling users to model intervention strategies like quarantine, vaccination, or social distancing, and assess their projected impact. Unlike many modelling tools that require technical expertise, this GUI simplifies complex epidemiological concepts, making it suitable for medical personnel, public health officials, and students in health-related fields. Its intuitive design and low system requirements allow easy deployment on standard computers, making it ideal for use in clinics, universities, and resource-constrained settings. With further adaptation, the tool can be extended to simulate other communicable diseases, offering valuable insights for outbreak preparedness, training, and policy development.