Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-28T18:51:47.480Z Has data issue: false hasContentIssue false

On the use of age-intensity data to detect immunity to parasitic infections, with special reference to Schistosoma mansoni in Kenya

Published online by Cambridge University Press:  06 April 2009

A. J. C. Fulford
Affiliation:
Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP
A. E. Butterworth
Affiliation:
Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP
R. F. Sturrock
Affiliation:
Department of Medical Parasitology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT
J. H. Ouma
Affiliation:
Divison of Vector-Borne Diseases, Ministry of Health, P.O. Box 20750, Nairobi, Kenya

Summary

We consider two phenomena, related to the host age-intensity profiles of parasitic infections, which have been suggested to be indicative of acquired immunity: (i) a lower age of peak intensity among more intensely infected hosts; and (ii) a decline with age in the dispersion of the distribution of parasites between hosts. We demonstrate that these phenomena occur among Kenyan schoolchildren infected with Schistosoma mansoni, although the magnitude of both is small. We also examine the mathematical models underlying these predictions and conclude that both phenomena are possible in the absence of acquired immunity or, indeed, in the absence of any density-dependent effect. In our opinion, insufficient attention has been focused upon mathematical models, describing the null hypothesis, i.e. density-independent models. In particular, we regard the usual assumptions made for the two stochastic components of these models, describing the heterogeneity between hosts and the probabilistic nature of infection and death of parasites, as too rigid and unrealistic. We demonstrate that deviation from these assumptions undermines the qualitative distinctions between models which describe acquired immunity or density dependence and those which are density-independent.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1992

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Anderson, R. M. (1987). Determinants of infection in human schistosomiasis. Baillière's Clinical Tropical Medicine and Communicable Diseases 2, 279300.Google Scholar
Anderson, R. M. & Gordon, D. M. (1982). Processes influencing the distribution of parasite numbers within populations with special emphasis on parasite-induced host mortality. Parasitology 85, 373–98.CrossRefGoogle Scholar
Anderson, R. M. & May, R. M. (1985). Herd immunity to helminth infection and implications for parasite control. Nature, London 315, 493–6.CrossRefGoogle ScholarPubMed
Bradley, D. J. & May, R. M. (1978). Consequences of helminth aggregation for the dynamics of schistosomiasis. Transactions of the Royal Society of Tropical Medicine and Hygiene 72, 262–73.CrossRefGoogle ScholarPubMed
Bradley, D. J. & McCullough, F. S. (1973). Egg output stability and the epidemiology of Schistosoma haematobium. Part II. An analysis of the epidemiology of endemic S. haematobium. Transactions of the Royal Society of Tropical Medicine and Hygiene 67, 491500.CrossRefGoogle Scholar
Bundy, D. A. P., Cooper, E. S., Thompson, D. E., Anderson, R. M. & Didier, J. M. (1987). Age-related prevalence and intensity of Trichuris trichuria infection in a St Lucian community. Transactions of the Royal Society of Tropical Medicine and Hygiene 81, 8594.CrossRefGoogle Scholar
Butterworth, A. E., Sturrock, R. F., Ouma, J. H., Mbugua, G. G., Fulford, A. J. C., Kariuki, H. C. & Koech, D. (1991). Comparison of different chemotherapy strategies against Schistosoma mansoni in Machakos District, Kenya. 1. Effects on human infection and morbidity. Parasitology 103, 339–55.CrossRefGoogle Scholar
Clarke, V. De V. (1966). The influence of acquired resistance in the epidemiology of bilharziasis. Central African Medical Journal 12 (Suppl. 1), 130.Google ScholarPubMed
Crofton, H. D. (1971 a). A quantitative approach to parasitism. Parasitology 62, 7993.CrossRefGoogle Scholar
Crofton, H. D. (1971 b). A model of host–parasite relationships. Parasitology 63, 343–64.CrossRefGoogle Scholar
Croll, N. A., Anderson, R. M., Gyorkos, T. W. & Ghadirian, E. (1982). The population biology and control of Ascaris lumbricoides in a rural community in Iran. Transactions of the Royal Society of Tropical Medicine and Hygiene 76, 187–97.CrossRefGoogle Scholar
Fulford, A. J. C., Mbugua, G. G., Ouma, J. H., Kariuki, H. C., Sturrock, R. F. & Butterworth, A. E. (1991). Differences in the rate of hepatosplenomegaly due to Schistosoma mansoni infection between two areas in Machakos District, Kenya. Transactions of the Royal Society of Tropical Medicine and Hygiene 85, 481–8.CrossRefGoogle ScholarPubMed
Griffiths, D. A. (1971). Measles in vaccinated communities. Lancet 2, 1423–4.CrossRefGoogle ScholarPubMed
Meldey, G. & Anderson, R. M. (1985). Densitydependent fecundity in Schistosoma mansoni infections in man. Transactions of the Royal Society of Tropical Medicine and Hygiene 79, 532–4.Google Scholar
Nokes, D. J. & Anderson, R. M. (1988). The use of mathematical models in the epidemiological study of infectious diseases and in the design of mass immunization programmes. Epidemiology and Infection 101, 120.CrossRefGoogle ScholarPubMed
Pacala, S. W. & Dobson, A. P. (1988). The relationship between the number of parasites/host and the host age: population dynamic causes and maximum likelihood estimation. Parasitology 96, 197210.CrossRefGoogle Scholar
Warren, K. S. (1973). Regulation of the prevalence and intensity of schistosomiasis in man: immunity or ecology? Journal of Infectious Diseases 127, 595609.CrossRefGoogle ScholarPubMed
Woolhouse, M. E. J., Taylor, P., Matanhire, D. & Chandiwana, S. K. (1991). Acquired immunity and epidemiology of Schistosoma haematobium. Nature, London 351, 757–9.CrossRefGoogle ScholarPubMed