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_178
Snippet: Gaussian. The mean recovery time T can be predicted as t R −t N , where tR is the peak 973 of R(t) and tN is the peak of N(t). These two peak times can be obtained by extending 974 the straight line in Fig. 3 to intersect the zero line. This predicted result can be 975 verified statistically after the fact by the lagged correlation of R(t) and N(t). If the 976 distribution is indeed Gaussian or even approximately so, the slope in Fig. 3 would .....
Document: Gaussian. The mean recovery time T can be predicted as t R −t N , where tR is the peak 973 of R(t) and tN is the peak of N(t). These two peak times can be obtained by extending 974 the straight line in Fig. 3 to intersect the zero line. This predicted result can be 975 verified statistically after the fact by the lagged correlation of R(t) and N(t). If the 976 distribution is indeed Gaussian or even approximately so, the slope in Fig. 3 would 977 be proportional to the reciprocal of the square of its standard deviation, σ, as:
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