Author: Yao Yu Yeo; Yao-Rui Yeo; Wan-Jin Yeo
Title: A Computational Model for Estimating the Progression of COVID-19 Cases in the US West and East Coasts Document date: 2020_3_27
ID: 8g64u3ux_27
Snippet: The Erlang distribution for which we sampled −1 from has a mean set to be 5.2 days, and for −1 , 3 days, as suggested by [16, 19, 20] . The minimum of the distribution range is also restricted to be 1, i.e. minimum possible incubation period is 1 day. Correspondingly, we will have 100 values of the contact rate for at timestep, ( ) = 0 ( ) ( ). We then performed 100 iterations of the fourth-order Runge-Kutta for each of these , , and to obtai.....
Document: The Erlang distribution for which we sampled −1 from has a mean set to be 5.2 days, and for −1 , 3 days, as suggested by [16, 19, 20] . The minimum of the distribution range is also restricted to be 1, i.e. minimum possible incubation period is 1 day. Correspondingly, we will have 100 values of the contact rate for at timestep, ( ) = 0 ( ) ( ). We then performed 100 iterations of the fourth-order Runge-Kutta for each of these , , and to obtain 100 values for the next timestep, +1 . Finally, the mean of these 100 values at +1 was taken. It is also important to note that at every iteration, the effective total population should be updated.
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