2015
DOI: 10.1007/s11538-015-0087-3
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A Boundary Value Approach to Optimization with an Application to Salmonella Competition

Abstract: We develop a novel optimization framework to study strategies in ecological competition processes. The optimization method uses theory from dynamical systems describing the asymptotic behavior of a bistable system based on initial conditions, which we implement using a numerical boundary value problem. As an application of our method, we develop a model of the competition between Salmonella Typhimurium and the host's native microflora, which constantly and densely inhabit the intestinal lining of most mammals.… Show more

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Cited by 7 publications
(5 citation statements)
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“…Increased strength of competition leads to the divergence of microbial profile following different birth environments. The divergent outcomes are owing to bistability in the dynamics, which was also observed in studies that model commensalpathogen competition [46] and microbe-immune system interaction [54]. Variation in post-weaning Bifidobacteria abundance in response to different birth and feeding modes cannot be produced by competition alone.…”
Section: Discussionmentioning
confidence: 89%
See 1 more Smart Citation
“…Increased strength of competition leads to the divergence of microbial profile following different birth environments. The divergent outcomes are owing to bistability in the dynamics, which was also observed in studies that model commensalpathogen competition [46] and microbe-immune system interaction [54]. Variation in post-weaning Bifidobacteria abundance in response to different birth and feeding modes cannot be produced by competition alone.…”
Section: Discussionmentioning
confidence: 89%
“…The effects of initial colonization on the competitive outcome between an invasive and a commensal gut population have been studied with chemostat models [44,45] and a recent Lotka-Volterra-type ecological model [46]. The prevalence of competition has been shown in ecological network models [1,47] and human gut community interaction topologies [48,49].…”
Section: Discussionmentioning
confidence: 99%
“…The third boundary condition is equivalent to ( ) c I τ ′ = 0 and therefore requires I c to be at a local maximum at time τ. The variable τ is therefore the time at which I c reaches its maximum 16 . Evaluating I c at t = τ for any solution of BVP ( 3)-( 5) provides the peak ICU cases for the fixed parameter set.…”
Section: Time R T = 1 and Peak Icu Casesmentioning
confidence: 99%
“…The third boundary condition is equivalent to ( ) c I τ ′ = 0 and therefore requires I c to be at a local maximum at time τ. The variable τ is therefore the time at which I c reaches its maximum 17 . Evaluating I c at t = τ for any solution of BVP ( 3)-( 5) provides the peak ICU cases for the fixed parameter set.…”
Section: Time R T = 1 and Peak Icu Casesmentioning
confidence: 99%