luoluogogogo / covid-19-code

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

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

Contact

• on matters about the paper, please contact: Tianyi Qiu, [e-mail]
• on matters about the code, please contact: Han Xiao, [e-mail]