Spatial SIR epidemic model with varying infectivity in an unbounded domain: Law of Large Numbers
Armand Kanga, Etienne Pardoux

TL;DR
This paper extends a spatial SIR epidemic model to unbounded domains, incorporating age-dependent infectivity and non-local infections, and proves a law of large numbers as population size grows.
Contribution
It generalizes previous bounded domain results to unbounded domains, providing a rigorous law of large numbers for the model with age-dependent infectivity.
Findings
Law of large numbers established for unbounded domains
Model incorporates non-local infections and age-dependent infectivity
Extends previous bounded domain results
Abstract
We consider a spatial SIR epidemic model where the infectivity of infected individuals depends upon their age of infection, and infections are non local. The domain is an unbounded subset of ,and the individuals do not move. We extend our earlier result in \cite{AK-EP}, where the domain was bounded, and prove a law of large numbers as the size of the population tends to .
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Taxonomy
TopicsCOVID-19 epidemiological studies · Mathematical and Theoretical Epidemiology and Ecology Models · Bacteriophages and microbial interactions
