Selected article for: "China study and SEIRD model"
Author: Ismael Khorshed Abdulrahman
Title: SimCOVID: An Open-Source Simulink-Based Program for Simulating the COVID-19 Epidemic
  • Document date: 2020_4_17
    • ID: nexylnv4_27
    Snippet: This paper presents an open-source program to model, simulate, and predict the coronavirus COVID-19 outbreak using Simulink. Several models were employed including a simple SIR representation with constant recovery rate and a one-step beta function, SIR with three step-functions, and a more detailed SEIRD model. In addition, an adaptive neurofuzzy inference system was used to generate the output of the model based on some training tasks applied t.....
    Document: This paper presents an open-source program to model, simulate, and predict the coronavirus COVID-19 outbreak using Simulink. Several models were employed including a simple SIR representation with constant recovery rate and a one-step beta function, SIR with three step-functions, and a more detailed SEIRD model. In addition, an adaptive neurofuzzy inference system was used to generate the output of the model based on some training tasks applied to the system. The tests used in this study were the cases of China and Italy outbreaks. The results obtained showed good matching between the simulated and reported cases. It also estimates the case of Italy to reach around 265000 cases at the end of July 2020. This paper promises some lasting values in the field of the coronavirus spread. The program can be used as an educational tool or for research studies. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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