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Revealing the influence of national public health response for the outbreak of the SARS-CoV-2 epidemic in Wuhan, China through status dynamic modeling

Reproducible research

The following notebooks can be used to reproduce the experiments described in the paper submission:

  • parameter_fitting.ipynb: parameter tuning (infection coefficient, etc)
  • patient-zero.ipynb: inferring the date when patient-zero occurred
  • start2end.ipynb: from patient-zero time to the end (epidemic fully under control)
  • delay-or-advance-lockdown.ipynb: effect of delaying or advancing lockdown date
  • varying-bed-numbers.ipynb: effect of varying number of beds
  • simulation-for-last-year.ipynb: simulation of last year
  • public-event.ipynb: effect of public event
  • remove-lockdown-date.ipynb: effect of lockdown lift and the choice of the day
  • wuhan-map.ipynb: illustration on the map of Wuhan

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