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In the demographic_turnover.Rmd vignette, we currently plot $R=R_{eff}$, which gives expected dynamics (increase/decrease). However, if R is small, a single introduction is unlikely to cause a large outbreak (full methodology is given in {superspreading}). For a simple exponentially distributed infectious period (as in SIR model), the probability of a large epidemic is $1-1/R$. Hence we could add this as an extension of Figure 1 to highlight the additional shift in risk that happens as $R$ increases further above 1.
Working branch for this is turnover-outbreak-risk.
The text was updated successfully, but these errors were encountered:
In the$R=R_{eff}$ , which gives expected dynamics (increase/decrease). However, if R is small, a single introduction is unlikely to cause a large outbreak (full methodology is given in {superspreading}). For a simple exponentially distributed infectious period (as in SIR model), the probability of a large epidemic is $1-1/R$ . Hence we could add this as an extension of Figure 1 to highlight the additional shift in risk that happens as $R$ increases further above 1.
demographic_turnover.Rmd
vignette, we currently plotWorking branch for this is
turnover-outbreak-risk
.The text was updated successfully, but these errors were encountered: