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_24
Snippet: Results showed that, if we increase α by 5% in one single day such as Jan 20 th , the number of infections in peak time and end point will increase by 1,237 (5%) and 4,243(5%), respectively (Figure 3e ). If α is increased by 25%, the number of people in peak time and endpoint will increase by 7,449 (31%) and 24,929 (32%), respectively (Figure 3f ). Other results were also illustrated in Supplementary Figure 3 & Supplementary Table 2 . Thus, th.....
Document: Results showed that, if we increase α by 5% in one single day such as Jan 20 th , the number of infections in peak time and end point will increase by 1,237 (5%) and 4,243(5%), respectively (Figure 3e ). If α is increased by 25%, the number of people in peak time and endpoint will increase by 7,449 (31%) and 24,929 (32%), respectively (Figure 3f ). Other results were also illustrated in Supplementary Figure 3 & Supplementary Table 2 . Thus, the public gathering events in one single day could . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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