Author: Anatoly Zhigljavsky; Jack Noonan
Title: Generic probabilistic modelling and non-homogeneity issues for the UK epidemic of COVID-19 Document date: 2020_4_7
ID: gm1mb8w5_22
Snippet: In red colour, in Figure 1 and all plots below we plot values of S(t)/N , the proportion of people non-infected by time t. In blue, we plot R(t)/N , the proportion of people recovered from the disease (or dead) and in green we plot our main quantity of interest which is I(t)/N , the proportion of infected people at time t. The values of R(t) do not play any part in modelling and are plotted for information only......
Document: In red colour, in Figure 1 and all plots below we plot values of S(t)/N , the proportion of people non-infected by time t. In blue, we plot R(t)/N , the proportion of people recovered from the disease (or dead) and in green we plot our main quantity of interest which is I(t)/N , the proportion of infected people at time t. The values of R(t) do not play any part in modelling and are plotted for information only.
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