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_13
Snippet: • N -population size • I(t) -number of infected at time t • R(t) -number of immune (recovered or dead) at time t (this makes full sense from a modelling perspective, but we appreciate that this may look kind of strange when read by non-scientists) • R 0 = β/σ -reproductive number (average number of people who will capture the disease from one contagious person).....
Document: • N -population size • I(t) -number of infected at time t • R(t) -number of immune (recovered or dead) at time t (this makes full sense from a modelling perspective, but we appreciate that this may look kind of strange when read by non-scientists) • R 0 = β/σ -reproductive number (average number of people who will capture the disease from one contagious person)
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