Development of a MATLAB Application for Simulating the SEIQRD Pandemic Spread Model

This paper details the development of a MATLAB application simulating the SEIQRD model for the spread of pandemic diseases. Using App Designer and differential equations, we demonstrate the usefulness of the model for modeling pandemics by replicating Slovakia's COVID-19 pandemic data. The study analyzes how various factors affect infection waves and assesses public health interventions. The SEIQRD model expands on SEIR, including categories for exposed, symptomatic, asymptomatic, quarantined, recovered, and deceased individuals.