Author: Song-Kyoo Kim
Title: AAEDM: Theoretical Dynamic Epidemic Diffusion Model and Covid-19 Korea Pandemic Cases Document date: 2020_3_20
ID: jf36as70_38
Snippet: These parameters could be used for prediction models to estimate the number of accumulated infected people (2.10) and the net increasing (2.13). It is noted that these parameters are flexible enough to be modified based on data availability. Dataset might contain only recent values for these two parameters which might be missed at the beginning (e. g., missing of and ). The values could be determined in      ï€ different calculati.....
Document: These parameters could be used for prediction models to estimate the number of accumulated infected people (2.10) and the net increasing (2.13). It is noted that these parameters are flexible enough to be modified based on data availability. Dataset might contain only recent values for these two parameters which might be missed at the beginning (e. g., missing of and ). The values could be determined in      ï€ different calculations such as:
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