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_39
Snippet: In this paper, we propose a recursive bifurcation approach to estimate the peak time of COVID-19 virus spread. The infected population data in South Korea is analyzed as an example of stabilized virus spread. An algorithm is developed to predict the future infected population based on ongoing existing data as of April 6, 2020. Our model predicts that the COVID-19 virus spread will approximately peak on April 26 and May 1, 2020, respectively for U.....
Document: In this paper, we propose a recursive bifurcation approach to estimate the peak time of COVID-19 virus spread. The infected population data in South Korea is analyzed as an example of stabilized virus spread. An algorithm is developed to predict the future infected population based on ongoing existing data as of April 6, 2020. Our model predicts that the COVID-19 virus spread will approximately peak on April 26 and May 1, 2020, respectively for United States and Germany in terms of infected population.
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