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_79
Snippet: This gives another way to predict the turning point t p which can be used instead of 464 (but is less accurate than) the NR ratio, during the early stage of the epidemic when 465 not enough R(t) data is available, as is the case currently for US. 466 467.....
Document: This gives another way to predict the turning point t p which can be used instead of 464 (but is less accurate than) the NR ratio, during the early stage of the epidemic when 465 not enough R(t) data is available, as is the case currently for US. 466 467
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