Author: Song-Kyoo Kim
Title: AAEDM: Theoretical Dynamic Epidemic Diffusion Model and Covid-19 Korea Pandemic Cases Document date: 2020_3_20
ID: jf36as70_24
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.03.17.20037838 doi: medRxiv preprint Figure 2 . 2D graph to show the impact of    Another critical parameter of the AAEDM is the net increase ratio factor which is called as ( ). The indicates an average value of the zeta-factor -factor zeta-factor  increasing ratio between the present and the past (see Figure 3 ). gives a good indication of a current status of epid.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.03.17.20037838 doi: medRxiv preprint Figure 2 . 2D graph to show the impact of    Another critical parameter of the AAEDM is the net increase ratio factor which is called as ( ). The indicates an average value of the zeta-factor -factor zeta-factor  increasing ratio between the present and the past (see Figure 3 ). gives a good indication of a current status of epidemic growth. -factor         means the epidemic will be exponentially increased during a next prediction period ( ). In the other hand, means that the growth will start
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