Author: Hanshuang Pan; Nian Shao; Yue Yan; Xinyue Luo; Shufen Wang; Ling Ye; Jin Cheng; Wenbin Chen
Title: Multi-chain Fudan-CCDC model for COVID-19 -- a revisit to Singapore's case Document date: 2020_4_17
ID: etnf4i8v_33
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.13.20063792 doi: medRxiv preprint represent the infection rate and the isolation rate respectively, which may be changed in different time periods. f 2 (k) and f 4 (k) are the transition probabilities from infection to illness onset, and from infection to hospitalization, respectively, which are reconstructed from one important paper [5] .....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.13.20063792 doi: medRxiv preprint represent the infection rate and the isolation rate respectively, which may be changed in different time periods. f 2 (k) and f 4 (k) are the transition probabilities from infection to illness onset, and from infection to hospitalization, respectively, which are reconstructed from one important paper [5] by CCDC. This time delay dynamic system is applicable to simulations of COVID-19 in the countries where community transmission exists, while the kernels like f 2 (k) and f 4 (k) might vary from countries to countries.
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