Author: Sanyi Tang; Biao Tang; Nicola Luigi Bragazzi; Fan Xia; Tangjuan Li; Sha He; Pengyu Ren; Xia Wang; Zhihang Peng; Yanni Xiao; Jianhong Wu
Title: Stochastic discrete epidemic modeling of COVID-19 transmission in the Province of Shaanxi incorporating public health intervention and case importation Document date: 2020_2_29
ID: aoqyx8mk_31
Snippet: where δ I0 is the initial rate of confirmation, is the fastest confirmation rate, and 3 is the exponential decreasing rate of the detection period. Definitely, (0) = 0 and lim →∞ ( ) = with > 0 . Let be the time point at which stringent control measures are introduced on Jan 23nd, 2020. Until February 4 th 2020, there was no cured case in Shaanxi province, so the cure rate should be zero before February 4 th 2020. The number of discharged pa.....
Document: where δ I0 is the initial rate of confirmation, is the fastest confirmation rate, and 3 is the exponential decreasing rate of the detection period. Definitely, (0) = 0 and lim →∞ ( ) = with > 0 . Let be the time point at which stringent control measures are introduced on Jan 23nd, 2020. Until February 4 th 2020, there was no cured case in Shaanxi province, so the cure rate should be zero before February 4 th 2020. The number of discharged patients has increased rapidly since February 7 th 2020. Therefore, the cure rate is defined as a constant piecewise function based on the real situation.
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