Outbreak size distributions in epidemics with multiple stages

Tibor Antal*, P. L. Krapivsky

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article numberP07018
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2012
Issue number7
DOIs
Publication statusPublished - 19 Jul 2012

Keywords / Materials (for Non-textual outputs)

  • population dynamics (theory)
  • stochastic processes

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