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Density dependence and overdispersion in the transmission of helminth parasites

Published online by Cambridge University Press:  09 March 2005

T. S. CHURCHER ,
N. M. FERGUSON  and
M.-G. BASÁÑEZ
T. S. CHURCHER
Affiliation:
Department of Infectious Disease Epidemiology, Faculty of Medicine, St Mary's Campus, Imperial College London, Norfolk Place, London W2 1PG, UK
N. M. FERGUSON
Affiliation:
Department of Infectious Disease Epidemiology, Faculty of Medicine, St Mary's Campus, Imperial College London, Norfolk Place, London W2 1PG, UK
M.-G. BASÁÑEZ
Affiliation:
Department of Infectious Disease Epidemiology, Faculty of Medicine, St Mary's Campus, Imperial College London, Norfolk Place, London W2 1PG, UK
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Abstract

The influence of density-dependent processes on the transmission of parasitic helminths is determined by both the severity of the regulatory constraints and the degree of parasite overdispersion among the host population. We investigate how overdispersed parasite distributions among humans influence transmission levels in both directly- and indirectly-transmitted nematodes (Ascaris lumbricoides and Onchocerca volvulus). While past work has assumed, for simplicity, that density dependence acts on the average worm load, here we model density-dependence as acting on individual parasite burdens before averaging across hosts. A composite parameter, which we call the effective transmission contribution, is devised to measure the number of transmission stages contributed by a given worm burden after incorporating overdispersion in adult worm mating probabilities and other density-dependent mechanisms. Results indicate that the more overdispersed the parasite population, the greater the effect of density dependence upon its transmission dynamics. Strong regulation and parasite overdispersion make the relationship between mean worm burden and its effective contribution to transmission highly non-linear. Consequently, lowering the intensity of infection in a host population using chemotherapy may produce only a small decline in transmission (relative to its initial endemic level). Our analysis indicates that when parasite burden is low, intermediate levels of parasite clustering maximize transmission. Implications are discussed in relation to existing control programmes and the spread of anthelmintic resistance.

Keywords

mathematical modeltransmission dynamicsmating probabilitydensity dependenceAscaris lumbricoidesOnchocerca volvulusoverdispersionanthelmintics
Type
Research Article
Information
Parasitology , Volume 131 , Issue 1 , July 2005 , pp. 121 - 132
Copyright
© 2005 Cambridge University Press

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