Author: Julia Shen
Title: A Recursive Bifurcation Model for Predicting the Peak of COVID-19 Virus Spread in United States and Germany Document date: 2020_4_14
ID: 129608e4_15
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.09.20059329 doi: medRxiv preprint Furthermore, by using 1 in cycle 2 of Korea data, we also achieve an accurate prediction of infected population and validate to be close to unity (Figure 3) . Here, is a fictious variable that should be of a value of unity: The bifurcation in Figure 1 (a) is easy to identify visually. An automatic algorit.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.09.20059329 doi: medRxiv preprint Furthermore, by using 1 in cycle 2 of Korea data, we also achieve an accurate prediction of infected population and validate to be close to unity (Figure 3) . Here, is a fictious variable that should be of a value of unity: The bifurcation in Figure 1 (a) is easy to identify visually. An automatic algorithm can be created on the basis of discontinuity of tangential direction when traversing the curve. Since it is not the main focus of this paper, we do not explore it any further in this aspect.
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