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- W3196532436 abstract "A probabilistic approach to epidemic evolution on realistic social-connection graphs allows for characteristic differences among subjects, including the individual structure and number of social contacts (`ego networks') and the individual infection and recovery rates according to age or medical preconditions. Within our probabilistic Susceptible-Infectious-Removed (SIR) model on graphs, we compare the infection load and proxy cost of control scenarios by confinement, vaccination, and their combinations. The epidemic diffusion is explored on random social-connection graphs designed for more realistic person-person characteristics." @default.
- W3196532436 created "2021-09-13" @default.
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- W3196532436 date "2021-08-31" @default.
- W3196532436 modified "2023-09-27" @default.
- W3196532436 title "Control Scenarios for Probabilistic SIR Epidemics on Social-Connection Graphs." @default.
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