Journal Article

Understanding the relationship between prevalence of microfilariae and antigenaemia using a model of lymphatic filariasis infection

Michael A. Irvine, Sammy M. Njenga, Shamini Gunawardena, Claire Njeri Wamae, Jorge Cano, Simon J. Brooker and T. Deirdre Hollingsworth

in Transactions of The Royal Society of Tropical Medicine and Hygiene

Volume 110, issue 2, pages 118-124
Published in print February 2016 | ISSN: 0035-9203
Published online January 2016 | e-ISSN: 1878-3503 | DOI: https://dx.doi.org/10.1093/trstmh/trv096

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Background

Lymphatic filariasis is a debilitating neglected tropical disease that affects impoverished communities. Rapid diagnostic tests of antigenaemia are a practical alternative to parasitological tests of microfilaraemia for mapping and surveillance. However the relationship between these two methods of measuring burden has previously been difficult to interpret.

Methods

A statistical model of the distribution of worm burden and microfilariae (mf) and resulting antigenaemic and mf prevalence was developed and fitted to surveys of two contrasting sentinel sites undergoing interventions. The fitted model was then used to explore the relationship in various pre- and post-intervention scenarios.

Results

The model had good quantitative agreement with the data and provided estimates of the reduction in mf output due to treatment. When extrapolating the results to a range of prevalences there was good qualitative agreement with published data.

Conclusions

The observed relationship between antigenamic and mf prevalence is a natural consequence of the relationship between prevalence and intensity of adult worms and mf production. The method described here allows the estimation of key epidemiological parameters and consequently gives insight into the efficacy of an intervention programme.

Keywords: Antigenaemia; Elimination programme; Lymphatic filariasis; Microfilaraemia; Prevalence surveys

Journal Article.  4644 words.  Illustrated.

Subjects: Clinical Medicine ; Infectious Diseases ; Immunology ; Medical Microbiology and Virology ; Public Health and Epidemiology

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