/2019_nCov_predcition

This is a refined mathematical model of the outbreak of 2019-nCov and prediction

Primary LanguageJupyter NotebookMIT LicenseMIT

2019_nCov_predcition

COVID-19 (2019-nCov) has hit not only mainland China but also all over the world. This project is a refined mathematical model of the outbreak of 2019-nCov and prediction.

model method

modified SEIR model:

  1. take incubation period patients' ability to infect other people into consideration.
  2. propose a two stage model.

Directory

data

input dat for my research

  1. data.h5, data_init.h5, data_new.h5
    three data files containing number of the infected, suspected, dead and cured people.
  2. raw_data.xlsx
    raw data of detailed circumstances in some sample provinces.
  3. detail_dta_store.h5
    HDFStore of detailed data
  4. data_construct.py
    python file for data construction

code

python code for research

  1. SEIR.ipynb
    traditional SEIR model
  2. class_SEIR.py
    encapsulated SEIR model code
  3. class_SEIR_modified.py
    my encapsulated model (modify SEIR)
  4. my_model.ipynb

figure

figure of results, model and mathematical formula.
21 figures in total

research_2019_nCov_YqWu

my research report