SIR epidemics with long range infection in one dimension
Peter Grassberger

TL;DR
This paper investigates long-range infection epidemic models on one-dimensional lattices, revealing phase transitions, critical exponents, and the nature of epidemic spread depending on the decay parameter sigma, with implications for network structure.
Contribution
It provides a detailed analysis of epidemic behavior with non-local infection rates decaying as power laws, confirming theoretical predictions and exploring the transition at sigma=1.
Findings
Bounded infection clusters for sigma > 1.
Power-law decay of epidemic size at criticality.
Continuous variation of exponents and Kosterlitz-Thouless transition at sigma=1.
Abstract
We study epidemic processes with immunization on very large 1-dimensional lattices, where at least some of the infections are non-local, with rates decaying as power laws p(x) ~ x^{-sigma-1} for large distances x. When starting with a single infected site, the cluster of infected sites stays always bounded if (and dies with probability 1, of its size is allowed to fluctuate down to zero), but the process can lead to an infinite epidemic for sigma <1. For sigma <0 the behavior is essentially of mean field type, but for 0 < sigma <= 1 the behavior is non-trivial, both for the critical and for supercritical cases. For critical epidemics we confirm a previous prediction that the critical exponents controlling the correlation time and the correlation length are simply related to each other, and we verify detailed field theoretic predictions for sigma --> 1/3. For sigma = 1 we…
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