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A study of the distribution and abundance of the adult malaria vector in western Kenya highlands

BACKGROUND: A sharp rise in the malaria mortality rate has been observed recently in western Kenya. Malaria is transmitted by mosquito vectors. Malaria control strategies can be more successful if the distribution and abundance of mosquito vectors is predicted. However, how mosquito vectors are dist...

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Detalles Bibliográficos
Autores principales: Li, Li, Bian, Ling, Yan, Guiyun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559835/
https://www.ncbi.nlm.nih.gov/pubmed/18808696
http://dx.doi.org/10.1186/1476-072X-7-50
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author Li, Li
Bian, Ling
Yan, Guiyun
author_facet Li, Li
Bian, Ling
Yan, Guiyun
author_sort Li, Li
collection PubMed
description BACKGROUND: A sharp rise in the malaria mortality rate has been observed recently in western Kenya. Malaria is transmitted by mosquito vectors. Malaria control strategies can be more successful if the distribution and abundance of mosquito vectors is predicted. However, how mosquito vectors are distributed in space remain poor understood, and this question is rarely studied using spatial methods. This study aims to provide a better understanding of the distribution and abundance of mosquito vectors. To achieve this objective, spatial and non-spatial methods were employed. The data on the distribution of adult mosquitoes, and mosquito breeding habitats in a study area in western Kenya, and environmental variables were analyzed. RESULTS: The models developed using spatial methods outperformed the models developed using non-spatial methods. Houses close to locations where mosquito breeding habitats were repeatedly observed had more abundant adult female mosquitoes. Distance to high-order streams was identified as an effective predictor for the distribution of adult mosquitoes. CONCLUSION: The spatial method is more effective in modeling the distribution of adult mosquitoes than the non-spatial method. The results of this study can be used to facilitate decision-making related to mosquito surveillance and malaria prevention.
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spelling pubmed-25598352008-10-03 A study of the distribution and abundance of the adult malaria vector in western Kenya highlands Li, Li Bian, Ling Yan, Guiyun Int J Health Geogr Research BACKGROUND: A sharp rise in the malaria mortality rate has been observed recently in western Kenya. Malaria is transmitted by mosquito vectors. Malaria control strategies can be more successful if the distribution and abundance of mosquito vectors is predicted. However, how mosquito vectors are distributed in space remain poor understood, and this question is rarely studied using spatial methods. This study aims to provide a better understanding of the distribution and abundance of mosquito vectors. To achieve this objective, spatial and non-spatial methods were employed. The data on the distribution of adult mosquitoes, and mosquito breeding habitats in a study area in western Kenya, and environmental variables were analyzed. RESULTS: The models developed using spatial methods outperformed the models developed using non-spatial methods. Houses close to locations where mosquito breeding habitats were repeatedly observed had more abundant adult female mosquitoes. Distance to high-order streams was identified as an effective predictor for the distribution of adult mosquitoes. CONCLUSION: The spatial method is more effective in modeling the distribution of adult mosquitoes than the non-spatial method. The results of this study can be used to facilitate decision-making related to mosquito surveillance and malaria prevention. BioMed Central 2008-09-22 /pmc/articles/PMC2559835/ /pubmed/18808696 http://dx.doi.org/10.1186/1476-072X-7-50 Text en Copyright © 2008 Li et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Li, Li
Bian, Ling
Yan, Guiyun
A study of the distribution and abundance of the adult malaria vector in western Kenya highlands
title A study of the distribution and abundance of the adult malaria vector in western Kenya highlands
title_full A study of the distribution and abundance of the adult malaria vector in western Kenya highlands
title_fullStr A study of the distribution and abundance of the adult malaria vector in western Kenya highlands
title_full_unstemmed A study of the distribution and abundance of the adult malaria vector in western Kenya highlands
title_short A study of the distribution and abundance of the adult malaria vector in western Kenya highlands
title_sort study of the distribution and abundance of the adult malaria vector in western kenya highlands
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559835/
https://www.ncbi.nlm.nih.gov/pubmed/18808696
http://dx.doi.org/10.1186/1476-072X-7-50
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