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Persistence graphs

Persistence graph


Persistence graphs show equilibrium parasite densities, dependent on the number of vector–host contacts [annual biting rate, ABR).
The red curve shows the stable, positive equilibria: provided that there are sufficient vector–host contacts and parasites, the average parasite density in human hosts is represented by this curve. The green line shows the stable, trivial equilibria (parasite density = 0): transmission of the infection is not possible because of too few vector–host contacts or too few parasites.
The blue-dashed curve, resulting from breakpoint-inducing facilitation processes, represents the unstable equilibria (breakpoints): if the parasite density falls short of a breakpoint, the system will tend towards the trivial equilibrium and the infection will become extinct without further efforts (successful intervention, C1).
If the parasite density exceeds a breakpoint, the system will return to the stable, positive equilibrium and the infection will continue to persist (untimely cancelled intervention, C2).
The vertical arrows represent the dynamic behavior of the system: starting from any point on a line, an arrow points to the equilibrium parasite density at which the undisturbed system will stabilize.
In the green section of the graph, the infection cannot persist because the critical transmission threshold (TBR, point A) is not reached.
In the blue section of the graph, the infection can be eliminated by reducing the parasite density below the ABR-specific breakpoint.
Point B indicates an ABR at which facilitation-induced breakpoints disappear so that the stable zero equilibria (green line) exist only because of the mating process.
Breakpoints can be so close to the zero equilibrium that they are hardly relevant for elimination (represented by the smooth transition from the blue into the red sections of the graph).

Further reading: Duerr HP, Dietz K, Eichner M, 2005. Determinants of the eradicability of filarial infections: a conceptual approach. Trends in Parasitology 21: 88-96. Abstract at PubMed

Related pages: Density-dependence & eradicability, Uncertainties in the eradicability, Limitation & Control. Mathematical model.

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Responsable de cette page: Dr. H.-P. Duerr
Webmaster: Prof. Dr. M. Eichner (dernière modification de cette page: 13 juli 2009)
Collaborateur: Prof. K. Dietz, Institut für Medizinische Biometrie (IMB), Tübingen
Dr. M. Eichner
Soutenu financièrement par: Deutsche Forschungsgemeinschaft (DFG, DI 308/12-1)
Traduit en français par: Claire Le Roux, Université de Valenciennes et du Hainaut Cambraisis (UVHC), Institut des Sciences et Techniques (ISTV), France
Avertissement: L'Université Eberhard Karl de Tübingen, le Centre Hospitalier Universitaire de Tübingen, le Département de Biométrie Médicale (IMB), ainsi que les auteurs de cette page déclinent toute responsabilité pour le contenu des pages auxquelles cette page renvoie

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