Stochastic discrete epidemic modeling of COVID-19 transmission in the Province of Shaanxi incorporating public health intervention and case importation

Sanyi Tang; Biao Tang; Nicola Luigi Bragazzi; Fan Xia; Tangjuan Li; Sha He; Pengyu Ren; Xia Wang; Zhihang Peng; Yanni Xiao; Jianhong Wu

The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.02.25.20027615 doi: medRxiv preprint Figure 9 : Effect of continuous inflow on the number of exposed individuals (A) and infected individuals (B) with baseline parameter values, with 30% decreased inflow (C-D), with 60% decreased inflow (E-F), with 90% decreased inflow (G-H). Here the inflow has been lasting for 24 days (from February 24 th to March 18 th ). Figure 10 : Effect of intermittent inflow on the number of exposed individuals (A) and infected individuals (B) with baseline parameter values, with 30% decreased inflow (C-D), with 60% decreased inflow (E-F), with 90% decreased inflow (G-H). Here the inflow is on for the first (from February 24 th to March 1 st ) and third weeks (from March 9 th to 15 th ) and off for the second and fourth week and the following days.