Skip to main content
Log in

A host-parasite model yielding heterogeneous parasite loads

  • Published:
Journal of Mathematical Biology Aims and scope Submit manuscript

Abstract

Many models of parasitic infections lead to an approximately Poisson distribution of parasites among hosts, in stark contrast to the highly over-dispersed distributions that are usually encountered in practice. In this paper, a model is analyzed which, while assuming all individuals to be alike, can still lead to a very heterogeneous distribution of parasites among the host population. The model can be viewed as a very simple mean field interacting particle system, with the particles corresponding to the individual hosts, which behaves like an associated deterministic system when the number of hosts is large. The deterministic system describes the evolution over time of the proportions of the population with different parasite loads, and its equilibria are interpreted as typical distributions of parasites among hosts. Despite its simplicity, the model is complicated enough mathematically to leave a number of open problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Anderson, R. M., May, R. M.: Helminth infections of humans: mathematical models, population dynamics, and control. Adv. Parasitol. 24, 1–101 (1985)

    Google Scholar 

  2. Barbour, A. D.: Asymptotic expansions based on smooth functions in the central limit theorem. Probab. Theory Relat. Fields 72, 289–303 (1986)

    Google Scholar 

  3. Barbour, A. D., Kafetzaki, M.: Modelling the overdispersion of parasite loads. Math. Biosci. 107, 249–253 (1991)

    Google Scholar 

  4. Billingsley, P.: Convergence of probability measures. New York: Wiley, 1968

    Google Scholar 

  5. Born, E., Dietz, K.: Parasite population dynamics within a dynamic host population. Probab. Theory Relat. Fields 83, 67–85 (1989)

    Google Scholar 

  6. Bradley D. J., McCullough, F.: Egg output stability and the epidemiology of Schistosoma haematobium, Parts I and II. Trans. R. Soc. Trop. Med. Hyg. 67, 475–500 (1973)

    Google Scholar 

  7. Cheever, A. W.: A quantitative post-mortem study of schistosomiasis mansoni in man. Am. J. Trop. Med. Hyg. 17, 38–64 (1968)

    Google Scholar 

  8. Foster, F. G.: On the stochastic matrices associated with certain queueing processes. Ann. Math. Stat. 24, 355–360 (1953)

    Google Scholar 

  9. Hadeler, K. P., Dietz, K.: Population dynamics of killing parasites which reproduce in the host. J. Math. Biol. 21, 45–65 (1984)

    MathSciNet  MATH  Google Scholar 

  10. Kretzschmar, M.: A renewal equation with a birth-death process as a model for parasitic infections. J. Math. Biol. 27, 191–221 (1989)

    MathSciNet  MATH  Google Scholar 

  11. Kretzschmar, M.: Persistent solutions in a model for parasitic infections. J. Math. Biol. 27, 549–573 (1989)

    Google Scholar 

  12. Leonard, C.: Some epidemic systems are long range interacting particle systems. (Lect. Notes Biomath., vol. 86 pp. 170–183) Berlin Heidelberg New York: Springer 1990

    Google Scholar 

  13. Quinnell, R. J., Medley, G. F., Keymer, A. E.: The regulation of gastrointestinal helminth populations. Proc. Roy. Soc. Lond. Ser. B 330, 191–201 (1990)

    Google Scholar 

  14. Nåsell, I., Hirsch, W.: The transmission dynamics of schistosomiasis. Commun. Pure Appl. Math. 26, 395–453 (1973)

    Google Scholar 

  15. Tweedie, R. L.: Criteria for classifying general Markov chains. Adv. Appl. Probab. 8, 737–771 (1976)

    Google Scholar 

  16. Tweedie, R. L.: The existence of moments for stationary Markov chains. J. Appl. Probab 20, 191–196 (1983)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

This work was supported in part by Schweiz. Nationalfonds Grants Nos 21-25579.88 and 20-31262.91, and by NSF Grant DMS 90-05833

Rights and permissions

Reprints and permissions

About this article

Cite this article

Barbour, A.D., Kafetzaki, M. A host-parasite model yielding heterogeneous parasite loads. J. Math. Biol. 31, 157–176 (1993). https://doi.org/10.1007/BF00171224

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00171224

Key words

Navigation