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_12
Snippet: represents the duration from importation to confirmation for imported cases. For k consecutive days j = 1 , … , , is assumed to follow the Poisson distribution with mean (that has to be estimated). Given the daily number of newly confirmed imported cases 1 , … , on m consecutive days 1 , … , and the probability = ( − ≤ < − + 1) that an imported case entered Shaanxi province on day j and was confirmed on day i. We assume that for each .....
Document: represents the duration from importation to confirmation for imported cases. For k consecutive days j = 1 , … , , is assumed to follow the Poisson distribution with mean (that has to be estimated). Given the daily number of newly confirmed imported cases 1 , … , on m consecutive days 1 , … , and the probability = ( − ≤ < − + 1) that an imported case entered Shaanxi province on day j and was confirmed on day i. We assume that for each j, = ∑ =max { , 1 } is positive. Then parameters 1 , … , can be estimated by 1 , … , and through deconvolution method.
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