Applications of branching processes to the final size of SIR epidemics

作者: Frank Ball , Peter Neal

DOI: 10.1007/978-3-642-11156-3_15

关键词: Random graphPopulationCombinatoricsLambdaBranching processGiant componentBranching (polymer chemistry)Epidemic modelMathematicsCentral limit theorem

摘要: This paper considers applications of branching processes to a model for the spread an SIR (susceptible \(\to\) infective removed) epidemic among closed, homogeneously mixing population, consisting initially m and n susceptible individuals. Each remains infectious period sampled independently from arbitrary but specified distribution, during which he/she contacts individuals with rate \(n^{-1}\lambda\) each susceptible. The well-known approximation early stages this by process is outlined. main thrust use obtain, when constant, new probabilistically direct proofs central limit theorems size becomes established. Two asymptotic situations are considered: (i) many initial infectives, where both become large, establishment asymptotically certain; (ii) few held fixed only not certain may be possible. constant periods closely related Erdos-Reenyi random graph our methodology provides alternative proof theorem giant component in that graph.

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