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Negative spatial association between lymphatic filariasis and malaria in West Africa.

Kelly-Hope, L.A; Diggle, P.J.; Rowlingson, B.S.; Gyapong, J.O.; Kyelem, D.; Coleman, M.; Thomson, M.C.; Obsomer, V.; Lindsay, S.W.; Hemingway, J.; Molyneux, D.H.

Authors

L.A Kelly-Hope

P.J. Diggle

B.S. Rowlingson

J.O. Gyapong

D. Kyelem

M. Coleman

M.C. Thomson

V. Obsomer

J. Hemingway

D.H. Molyneux



Abstract

Objective To determine the relationship between human lymphatic filariasis, caused by Wuchereria bancrofti, and falciparum malaria, which are co-endemic throughout West Africa. Methods We used geographical information systems and spatial statistics to examine the prevalence of lymphatic filariasis in relation to malaria prevalence, mosquito species distributions, vegetation and climate. Results A negative spatial association between W. bancrofti and falciparum malaria prevalence exists. Interspecies competition between parasites, seasonality, differences in the distribution and vector competence of Anopheles vectors, agricultural practices and insecticide resistance may be factors driving current (and potentially future) spatial distributions. Conclusion Further investigating these factors will become crucial as large-scale lymphatic filariasis and malaria control programmes are implemented in West Africa that may influence the epidemiology of both diseases.

Citation

Kelly-Hope, L., Diggle, P., Rowlingson, B., Gyapong, J., Kyelem, D., Coleman, M., …Molyneux, D. (2006). Negative spatial association between lymphatic filariasis and malaria in West Africa. Tropical Medicine and International Health, 11(2), 129-135. https://doi.org/10.1111/j.1365-3156.2005.01558.x

Journal Article Type Article
Online Publication Date Mar 30, 2006
Publication Date 2006-02
Journal Tropical Medicine and International Health
Print ISSN 1360-2276
Electronic ISSN 1365-3156
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 11
Issue 2
Pages 129-135
DOI https://doi.org/10.1111/j.1365-3156.2005.01558.x
Keywords Anopheles;lymphatic filariasis;malaria;West Africa;epidemiology;transmission;climate;environment;geographical information systems;statistical modelling
Public URL https://durham-repository.worktribe.com/output/1588106