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. 2005 Oct 18;102(42):15265-70.
doi: 10.1073/pnas.0502659102. Epub 2005 Oct 10.

Human infection patterns and heterogeneous exposure in river blindness

Affiliations

Human infection patterns and heterogeneous exposure in river blindness

João A N Filipe et al. Proc Natl Acad Sci U S A. .

Abstract

Here we analyze patterns of human infection with Onchocerca volvulus (the cause of river blindness) in different continents and ecologies. In contrast with some geohelminths and schistosome parasites whose worm burdens typically exhibit a humped pattern with host age, patterns of O. volvulus infection vary markedly with locality. To test the hypothesis that such differences are partly due to heterogeneity in exposure to vector bites, we develop an age- and sex-structured model for intensity of infection, with parasite regulation within humans and vectors. The model is fitted to microfilarial data from savannah villages of northern Cameroon, coffee fincas of central Guatemala, and forest-dwelling communities of southern Venezuela that were recorded before introducing ivermectin treatment. Estimates of transmission and infection loads are compared with entomological and epidemiological field data. Host age- and sex-heterogeneous exposure largely explains locale-specific infection patterns in onchocerciasis (whereas acquired protective immunity has been invoked for other helminth infections). The basic reproductive number, R0, ranges from 5 to 8, which is slightly above estimates for other helminth parasites but well below previously presented values.

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Figures

Fig. 1.
Fig. 1.
Observed and predicted age profiles of the overdispersion parameter, ka). Shown are moment estimates within 3-year age groups ○, females; •, males), a direct fit to moment estimates thick line), and the full model fitted to individual data jointly with the model for Msa) thin line). Direct and full-model fits use the same three-parameter function: logistic Cameroon) or lognormal Guatemala and Venezuela). The full model agrees with the moment estimates, supporting our model for overdispersion.
Fig. 2.
Fig. 2.
Observed and predicted age profiles of mf load by sex and country. Shown are mean and standard error of observations within ≈10-year age groups ○, females; •, males) and the model fitted to individual data Cameroon, ≈5,000 individuals; Guatemala, ≈900 individuals; Venezuela, ≈1,000 individuals). Solid lines represent males, and dashed lines represent females.

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