2005
DOI: 10.1016/j.spa.2004.08.003
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Designing a contact process: the piecewise-homogeneous process on a finite set with applications

Abstract: We consider how to choose the reproduction rates in a one-dimensional contact process on a finite set to maximize the growth rate of the extinction time with the population size. The constraints are an upper bound on the average reproduction rate, and that the rate profile must be piecewise constant. We show that the optimum growth rate is achieved by a rate profile with at most two rates, and we characterize the solution in terms of a ''spatial correlation length'' of the supercritical process. We examine the… Show more

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Cited by 7 publications
(10 citation statements)
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“…A slightly different aspect on the spread of viruses was studied by Wagner and Anantharam [26]. They raised the question of whether an inhomogeneous spread rate β xy for the different edges {x, y} of the underlying graph might be more efficient for the virus.…”
Section: Motivation Models and Previous Resultsmentioning
confidence: 99%
“…A slightly different aspect on the spread of viruses was studied by Wagner and Anantharam [26]. They raised the question of whether an inhomogeneous spread rate β xy for the different edges {x, y} of the underlying graph might be more efficient for the virus.…”
Section: Motivation Models and Previous Resultsmentioning
confidence: 99%
“…For every interval I N,i , the birth rates for all vertices in I N,i ∩ Z are assumed to be equal to λ i . One of results in [10] affirms that if all λ i 's are larger than the critical point λ c of the (original) 1-dimensional contact process,…”
Section: Introductionmentioning
confidence: 95%
“…On the basis of the argument in [4], Wagner and Anantharam [10] studied the extinction time σ CP N for the 1-dimensional contact process with piecewise homogeneous birth rates and an identical death rate on a finite interval. The precise definition is as follows: Let the death rates for all vertices be identically equal to the normalized rate 1.…”
Section: Introductionmentioning
confidence: 99%
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“…Analyzing epidemic behavior is complemented by works seeking to control such processes for various purposes. For example, various authors have looked at designing algorithms for optimal seeding in networks to maximize the spread of an SIR epidemic [7], for ensuring long-lasting SIS epidemics by distributing virulence across edges [27], and for efficient routing over spatial networks with fixed long-range links [28].…”
Section: B Related Workmentioning
confidence: 99%