Author: Andrea Torneri; Amin Azmon; Christel Faes; Eben Kenah; Gianpaolo Scalia Tomba; Jacco Wallinga; Niel Hens
Title: Realized generation times: contraction and impact of infectious period, reproduction number and population size Document date: 2019_3_8
ID: ag9mzwkx_32
Snippet: The two algorithms give the same results when looking at the mean value of the considered epidemic characteristics and when plotting the evolution over time of the mean forward and backward generation times. In S1 Table we reported the average quantities of mean duration T max , mean final size F S, mean forward generation timē ω f and mean backward generation generation timeω b for simulations with the stepwise algorithm. Values are almost th.....
Document: The two algorithms give the same results when looking at the mean value of the considered epidemic characteristics and when plotting the evolution over time of the mean forward and backward generation times. In S1 Table we reported the average quantities of mean duration T max , mean final size F S, mean forward generation timē ω f and mean backward generation generation timeω b for simulations with the stepwise algorithm. Values are almost the same as the ones reported for the parallel case in Table 1 . In S1 Fig we compare the evolution over time of the mean forward generation time in the vaccination scenario for R 0 = 1.5, 3 varying the infectious period and using both parallel and stepwise algorithms. The plot shows that the results are independent from the selected algorithm and infectious period. Same conclusions hold also for the gamma infectious period distributions considered in this paper. S1
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