Author: tianyi qiu; Han Xiao
Title: Revealing the influence of national public health policies for the outbreak of the SARS-CoV-2 epidemic in Wuhan, China through status dynamic modeling Document date: 2020_3_12
ID: 9zs68dnn_11
Snippet: The parameters of the status dynamic SEIO (MH) model were fitted according to the daily reports of new infections in Wuhan from Jan 27 th to Feb 2 th , during which the daily new increase of people in status ‫ܫ‬ was monotonously increasing with time. The initial number of people in status ‫ܫ‬ and ‫ܧ‬ were simulated from 500 to 10,000, while parameter ߙ and ߚ were simulated from 10 -9 to 10 -11 , respectively. Also, the median tim.....
Document: The parameters of the status dynamic SEIO (MH) model were fitted according to the daily reports of new infections in Wuhan from Jan 27 th to Feb 2 th , during which the daily new increase of people in status ‫ܫ‬ was monotonously increasing with time. The initial number of people in status ‫ܫ‬ and ‫ܧ‬ were simulated from 500 to 10,000, while parameter ߙ and ߚ were simulated from 10 -9 to 10 -11 , respectively. Also, the median time of people from status ‫ܯ‬ to status ܱ and people from status ‫ܫ‬ to status ܱ were simulated according to the increasing number of cured and dead from Jan 27 th to Feb 2 th . By minimizing the absolute error to the ground truth number in status ‫ܫ‬ , the statuses on Jan 27 th can be inferred.
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