Ferguson, N.M., et al. (2020) Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand. Imperial College COVID-19 Response Team.

has been cited by the following article:

• TITLE: Study on the Effects of Parameter Variation in the SEIRD Model on Infectious Disease Dynamics Based on Simulink

  AUTHORS: Yifeng Shan

  KEYWORDS: SEIRD Model, Parameter Sensitivity, Infectious Disease Modeling, MATLAB Simulink, Epidemic Control Strategies

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.13 No.3, July 4, 2025

  ABSTRACT: The research examines how different key parameters affect the SEIRD epidemic model through MATLAB Simulink simulations. The simulation model includes three scenarios which consist of a standard model and two alternative models for comparison. The model shows that higher parameter values speed up disease transmission while producing elevated peak infection rates. The SEIRD model demonstrates fundamental epidemiological patterns but it does not account for actual conditions such as underdiagnosis and mobility-based transmission. Recent studies indicate that models incorporating behavioral heterogeneity, diagnostic complexity, and adaptive parameters achieve superior predictive accuracy and enhance policy relevance. The research results demonstrate the value of parameter sensitivity analysis for disease spread understanding and establish a foundation for future model advancement.