Author: Norden E Huang; Fangli Qiao; Ka-Kit Tung
Title: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves Document date: 2020_3_30
ID: mxen3n0k_173
Snippet: log The theoretical result suggests that the slope of the linear line is -T/ σ R 2 , where σ R is 956 the standard deviation of the R(t) profile. In general, the slope can be different for 957 different regions with different levels of quarantine and epidemic characteristics. 958.....
Document: log The theoretical result suggests that the slope of the linear line is -T/ σ R 2 , where σ R is 956 the standard deviation of the R(t) profile. In general, the slope can be different for 957 different regions with different levels of quarantine and epidemic characteristics. 958
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