Multi-patch multi-group epidemic model with varying infectivity
Rapha\"el Forien, Guodong Pang, \'Etienne Pardoux

TL;DR
This paper develops a large population limit for a complex stochastic SIR epidemic model with spatial, group heterogeneity, and age-dependent infectivity, resulting in integral equations that capture these effects.
Contribution
It introduces a novel law of large numbers for a multi-patch, multi-group epidemic model with age-dependent infectivity, using a new proof technique based on McKean-Vlasov equations.
Findings
Derivation of Volterra-type integral equations as the population size tends to infinity.
Establishment of a law of large numbers for the multi-patch, multi-group model.
Weaker conditions on infectivity functions compared to previous models.
Abstract
This paper presents a law of large numbers result, as the size of the population tends to infinity, of SIR stochastic epidemic models, for a population distributed over distinct patches (with migrations between them) and distinct groups (possibly age groups). The limit is a set of Volterra-type integral equations, and the result shows the effects of both spatial and population heterogeneity. The novelty of the model is that the infectivity of an infected individual is infection age dependent. More precisely, to each infected individual is attached a random infection-age dependent infectivity function, such that the various random functions attached to distinct individuals are i.i.d. The proof involves a novel construction of a sequence of i.i.d. processes to invoke the law of large numbers for processes in , by using the solution of a MacKean-Vlasov type Poisson-driven…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · COVID-19 epidemiological studies · Stochastic processes and statistical mechanics
