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Markov_Chain_SEIR_VAR_SJTU_Model_Porject

SJTU MA227 Probability Theory and Stochastic Processes Project

Application of Markov chain in infectious disease dynamics model and combined with Brownian motion optimization

  • SEIR.py, SIR.py, SI.py

    Simulation of classic infectious disease dynamics model.

  • epidemic_data.xlsx

    Infectious disease data were recorded.

  • COVID-19_in_HuBei_SEIR.py, COVID-19_in_HuBei_SIR.py

    The previous data are simulated using SEIR model and SIR model.

  • improved_SEIR.py

    Optimized SEIR model for the above data for prediction.

  • SEIRwithBrown.py

    Combining the optimization model of Brownian motion and adding an isolation mechanism.

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