Revealing the influence of national public health response for the outbreak of the SARS-CoV-2 epidemic in Wuhan, China through status dynamic modeling
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 occurredstart2end.ipynb
: from patient-zero time to the end (epidemic fully under control)delay-or-advance-lockdown.ipynb
: effect of delaying or advancing lockdown datevarying-bed-numbers.ipynb
: effect of varying number of bedssimulation-for-last-year.ipynb
: simulation of last yearpublic-event.ipynb
: effect of public eventremove-lockdown-date.ipynb
: effect of lockdown lift and the choice of the daywuhan-map.ipynb
: illustration on the map of Wuhan
- on matters about the paper, please contact: Tianyi Qiu, [email protected]
- on matters about the code, please contact: Han Xiao, [email protected]