Emerging Infectious Diseases (2020), https://doi.org/10.3201/eid2605.200146
Remark:
(1) Code for estimating epidemiological parameters: "infer_epi_pars.R" and "stan_infer_dIw_exp.stan" together
(2) Code for estimating probabilities of case introductions from Wuhan to each city in China: "gitHub_risk_v2.m"
(3) "Table S3" provides the aggregate mobility data between Wuhan and 369 Chinese cities from 2016/12/03 to 2017/01/24. Cities are sorted according to the overall travel volume to and from Wuhan. The original data is derived from Tencent user geolocation data.
(4) Additional code and data requests should be addressed to Lin Wang (lin.wang@pasteur.fr), Xiaoke XU (xuxiaoke@foxmail.com) or Lauren Ancel Meyers (laurenmeyers@austin.utexas.edu)
Please cite below record if you would like to use these data and code:
@misc{Pasteur2020_COVID19, author = { Du Z, Wang L, Chauchemez S, Xu X, Wang X, Cowling BJ, Mayers L }, title = { Risk for Transportation of 2019 Novel Coronavirus (COVID-19) from Wuhan to Cities in China }, howpublished = { Emerging Infectious Diseases (2020), \url{https://doi.org/10.3201/eid2605.200146} }, year = 2020 }