سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / International Conference on Artificial Intelligence; City, Industry and Health

Forecasting the spread of epidemic diseases based on a modified SEIR model using the fuzzy-fractal system

نویسندگان :

Mahdie Sanjaran¹ Hamid Mahmoodian²

1- 1Department of Biomedical Engineering, Na.C., Islamic Azad University, Najafabad, Iran 2- Department of Biomedical Engineering, Na.C., Islamic Azad University, Najafabad, Iran

کلمات کلیدی :

Epidemic diesease,،Mathematical Model,،Pandemic Control,،modified SEIR Model,،Fuzzy System,،Fractal Dimension

چکیده :

Epidemics like SARS, Ebola, and COVID-19 (the most contagious recent virus) have caused global health and economic crises. Controlling pandemics requires understanding their complexity through mathematical modeling and fuzzy controllers. This study uses a model to forecast outbreaks and a genetically optimized fuzzy controller to manage restrictions like social distancing and quarantine, minimizing infections while accounting for economic impact via GDP growth rate as a cost function. Additionally, cultural factors, represented by fractal dimension, are analyzed, showing significant effects on reducing infections. Results demonstrate that incorporating fractal dimension improves pandemic control.

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