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

Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
data		data
output		output
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
const.py		const.py
core.py		core.py
core_old.py		core_old.py
delay-or-advance-lockdown.ipynb		delay-or-advance-lockdown.ipynb
effect-of-mean_IM.ipynb		effect-of-mean_IM.ipynb
effect-of-mu_EI.ipynb		effect-of-mu_EI.ipynb
effect-of-mu_MO.ipynb		effect-of-mu_MO.ipynb
fit.sh		fit.sh
helpers.py		helpers.py
param_fitting.py		param_fitting.py
parameter_fitting.ipynb		parameter_fitting.ipynb
patient-zero.ipynb		patient-zero.ipynb
pk.py		pk.py
public-event.ipynb		public-event.ipynb
remove-lockdown-date.ipynb		remove-lockdown-date.ipynb
simulation-for-last-year.ipynb		simulation-for-last-year.ipynb
start2end.ipynb		start2end.ipynb
test_simulation.py		test_simulation.py
test_vac_simulation.py		test_vac_simulation.py
vaccination_example.py		vaccination_example.py
varying-bed-numbers.ipynb		varying-bed-numbers.ipynb
wuhan-map.ipynb		wuhan-map.ipynb