Abstract / Description of output
Multiple-type branching processes that model the spread of infectious diseases are investigated. In these stochastic processes, the disease goes through multiple stages before it eventually disappears. We mostly focus on the critical multistage susceptible-infected-recovered (SIR) infection process. In the infinite-population limit, we compute the outbreak size distributions and show that asymptotic results apply to more general multiple-type critical branching processes. Finally, using heuristic arguments and simulations, we establish scaling laws for a multistage SIR model in a finite population.
Original language | English |
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Article number | P07018 |
Journal | Journal of Statistical Mechanics: Theory and Experiment |
Volume | 2012 |
Issue number | 7 |
DOIs | |
Publication status | Published - 19 Jul 2012 |
Keywords / Materials (for Non-textual outputs)
- population dynamics (theory)
- stochastic processes