Two-dimensional SIR epidemics with long range infection
Peter Grassberger

TL;DR
This paper extends 2D long-range SIR epidemic models, analyzing critical behavior, growth patterns, and universality classes, with detailed numerical and theoretical insights into phase transitions and infection spread dynamics.
Contribution
It provides a comprehensive analysis of 2D long-range SIR models, including critical exponents, growth laws, and the impact of mixed short- and long-range contacts, extending prior 1D studies.
Findings
Supercritical phase exhibits power-law exponents dependent on sigma.
In the supercritical regime, no Kosterlitz-Thouless transition occurs.
Growth of infected clusters follows stretched exponential or power-law depending on sigma.
Abstract
We extend a recent study of susceptible-infected-removed epidemic processes with long range infection (referred to as I in the following) from 1-dimensional lattices to lattices in two dimensions. As in I we use hashing to simulate very large lattices for which finite size effects can be neglected, in spite of the assumed power law for the probability that a site can infect another site a distance vector apart. As in I we present detailed results for the critical case, for the supercritical case with , and for the supercritical case with . For the latter we verify the stretched exponential growth of the infected cluster with time predicted by M. Biskup. For we find generic power laws with dependent exponents in the supercritical phase, but no Kosterlitz-Thouless (KT) like critical point as in…
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