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Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar

BACKGROUND: Deforestation and land use change is widespread in Madagascar, altering local ecosystems and creating opportunities for disease vectors, such as the Anopheles mosquito, to proliferate and more easily reach vulnerable, rural populations. Knowledge of risk factors associated with malaria i...

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Autores principales: Arisco, Nicholas J., Rice, Benjamin L., Tantely, Luciano M., Girod, Romain, Emile, Gauthier N., Randriamady, Hervet J., Castro, Marcia C., Golden, Christopher D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526177/
https://www.ncbi.nlm.nih.gov/pubmed/32993669
http://dx.doi.org/10.1186/s12936-020-03423-1
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author Arisco, Nicholas J.
Rice, Benjamin L.
Tantely, Luciano M.
Girod, Romain
Emile, Gauthier N.
Randriamady, Hervet J.
Castro, Marcia C.
Golden, Christopher D.
author_facet Arisco, Nicholas J.
Rice, Benjamin L.
Tantely, Luciano M.
Girod, Romain
Emile, Gauthier N.
Randriamady, Hervet J.
Castro, Marcia C.
Golden, Christopher D.
author_sort Arisco, Nicholas J.
collection PubMed
description BACKGROUND: Deforestation and land use change is widespread in Madagascar, altering local ecosystems and creating opportunities for disease vectors, such as the Anopheles mosquito, to proliferate and more easily reach vulnerable, rural populations. Knowledge of risk factors associated with malaria infections is growing globally, but these associations remain understudied across Madagascar’s diverse ecosystems experiencing rapid environmental change. This study aims to uncover socioeconomic, demographic, and ecological risk factors for malaria infection across regions through analysis of a large, cross-sectional dataset. METHODS: The objectives were to assess (1) the ecological correlates of malaria vector breeding through larval surveys, and (2) the socioeconomic, demographic, and ecological risk factors for malaria infection in four ecologically distinct regions of rural Madagascar. Risk factors were determined using multilevel models for the four regions included in the study. RESULTS: The presence of aquatic agriculture (both within and surrounding communities) is the strongest predictive factor of habitats containing Anopheles larvae across all regions. Ecological and socioeconomic risk factors for malaria infection vary dramatically across study regions and range in their complexity. CONCLUSIONS: Risk factors for malaria transmission differ dramatically across regions of Madagascar. These results may help stratifying current malaria control efforts in Madagascar beyond the scope of existing interventions.
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spelling pubmed-75261772020-09-30 Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar Arisco, Nicholas J. Rice, Benjamin L. Tantely, Luciano M. Girod, Romain Emile, Gauthier N. Randriamady, Hervet J. Castro, Marcia C. Golden, Christopher D. Malar J Research BACKGROUND: Deforestation and land use change is widespread in Madagascar, altering local ecosystems and creating opportunities for disease vectors, such as the Anopheles mosquito, to proliferate and more easily reach vulnerable, rural populations. Knowledge of risk factors associated with malaria infections is growing globally, but these associations remain understudied across Madagascar’s diverse ecosystems experiencing rapid environmental change. This study aims to uncover socioeconomic, demographic, and ecological risk factors for malaria infection across regions through analysis of a large, cross-sectional dataset. METHODS: The objectives were to assess (1) the ecological correlates of malaria vector breeding through larval surveys, and (2) the socioeconomic, demographic, and ecological risk factors for malaria infection in four ecologically distinct regions of rural Madagascar. Risk factors were determined using multilevel models for the four regions included in the study. RESULTS: The presence of aquatic agriculture (both within and surrounding communities) is the strongest predictive factor of habitats containing Anopheles larvae across all regions. Ecological and socioeconomic risk factors for malaria infection vary dramatically across study regions and range in their complexity. CONCLUSIONS: Risk factors for malaria transmission differ dramatically across regions of Madagascar. These results may help stratifying current malaria control efforts in Madagascar beyond the scope of existing interventions. BioMed Central 2020-09-29 /pmc/articles/PMC7526177/ /pubmed/32993669 http://dx.doi.org/10.1186/s12936-020-03423-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Arisco, Nicholas J.
Rice, Benjamin L.
Tantely, Luciano M.
Girod, Romain
Emile, Gauthier N.
Randriamady, Hervet J.
Castro, Marcia C.
Golden, Christopher D.
Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar
title Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar
title_full Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar
title_fullStr Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar
title_full_unstemmed Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar
title_short Variation in Anopheles distribution and predictors of malaria infection risk across regions of Madagascar
title_sort variation in anopheles distribution and predictors of malaria infection risk across regions of madagascar
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526177/
https://www.ncbi.nlm.nih.gov/pubmed/32993669
http://dx.doi.org/10.1186/s12936-020-03423-1
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