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Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia

BACKGROUND: Malaria is commonly associated with poverty. Macro-level estimates show strong links between malaria and poverty, and increasing evidence suggests that the causal link between malaria and poverty runs in both directions. However, micro-level (household and population) analyses on the lin...

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Autores principales: Sonko, Sheriff T, Jaiteh, Malanding, Jafali, James, Jarju, Lamin BS, D’Alessandro, Umberto, Camara, Abu, Komma-Bah, Musu, Saho, Alieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289203/
https://www.ncbi.nlm.nih.gov/pubmed/25416303
http://dx.doi.org/10.1186/1475-2875-13-449
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author Sonko, Sheriff T
Jaiteh, Malanding
Jafali, James
Jarju, Lamin BS
D’Alessandro, Umberto
Camara, Abu
Komma-Bah, Musu
Saho, Alieu
author_facet Sonko, Sheriff T
Jaiteh, Malanding
Jafali, James
Jarju, Lamin BS
D’Alessandro, Umberto
Camara, Abu
Komma-Bah, Musu
Saho, Alieu
author_sort Sonko, Sheriff T
collection PubMed
description BACKGROUND: Malaria is commonly associated with poverty. Macro-level estimates show strong links between malaria and poverty, and increasing evidence suggests that the causal link between malaria and poverty runs in both directions. However, micro-level (household and population) analyses on the linkages between malaria and poverty have often produced mixed results. METHODS: The Gambia Malaria Indicator Survey (MIS) 2010/11 was carried out between November 2010 and January 2011. Laboratory-confirmed malaria and wealth quintiles were used to assess the association of socio-economic status and malaria infection in children and the general population. Simple and multiple logistic regressions and survey data analysis procedures, including linearized standard errors to account for cluster sampling and unequal selection probabilities were applied. RESULTS: Children (six to 59 months) from the second, third, fourth and richest quintiles were significantly less likely to have malaria compared to children from the poorest quintiles. Children (five to 14 years) from the fourth and richest quintiles were also significantly less likely to have malaria compared to those from the poorest quintiles. The malaria burden has shifted from the under-five children (six to 59 months) to children aged five to 14 years. Malaria prevalence was significantly higher in the Central River Region compared to the Upper River Region; and males bear the malaria brunt more than females. Children (six to 59 months) and children (five to 14 years) living in houses with poor walls, floors, roofs and windows were significant associated with higher prevalence of malaria. However, in the general population, only poor wall housing materials were associated with higher prevalence of malaria. CONCLUSIONS: Investments in strategies that address socio-economic disparities and improvements in the quality of housing could, in the long term, significantly reduce the malaria burden in the poorest communities.
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spelling pubmed-42892032015-01-11 Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia Sonko, Sheriff T Jaiteh, Malanding Jafali, James Jarju, Lamin BS D’Alessandro, Umberto Camara, Abu Komma-Bah, Musu Saho, Alieu Malar J Research BACKGROUND: Malaria is commonly associated with poverty. Macro-level estimates show strong links between malaria and poverty, and increasing evidence suggests that the causal link between malaria and poverty runs in both directions. However, micro-level (household and population) analyses on the linkages between malaria and poverty have often produced mixed results. METHODS: The Gambia Malaria Indicator Survey (MIS) 2010/11 was carried out between November 2010 and January 2011. Laboratory-confirmed malaria and wealth quintiles were used to assess the association of socio-economic status and malaria infection in children and the general population. Simple and multiple logistic regressions and survey data analysis procedures, including linearized standard errors to account for cluster sampling and unequal selection probabilities were applied. RESULTS: Children (six to 59 months) from the second, third, fourth and richest quintiles were significantly less likely to have malaria compared to children from the poorest quintiles. Children (five to 14 years) from the fourth and richest quintiles were also significantly less likely to have malaria compared to those from the poorest quintiles. The malaria burden has shifted from the under-five children (six to 59 months) to children aged five to 14 years. Malaria prevalence was significantly higher in the Central River Region compared to the Upper River Region; and males bear the malaria brunt more than females. Children (six to 59 months) and children (five to 14 years) living in houses with poor walls, floors, roofs and windows were significant associated with higher prevalence of malaria. However, in the general population, only poor wall housing materials were associated with higher prevalence of malaria. CONCLUSIONS: Investments in strategies that address socio-economic disparities and improvements in the quality of housing could, in the long term, significantly reduce the malaria burden in the poorest communities. BioMed Central 2014-11-21 /pmc/articles/PMC4289203/ /pubmed/25416303 http://dx.doi.org/10.1186/1475-2875-13-449 Text en © Sonko et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Research
Sonko, Sheriff T
Jaiteh, Malanding
Jafali, James
Jarju, Lamin BS
D’Alessandro, Umberto
Camara, Abu
Komma-Bah, Musu
Saho, Alieu
Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia
title Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia
title_full Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia
title_fullStr Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia
title_full_unstemmed Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia
title_short Does socio-economic status explain the differentials in malaria parasite prevalence? Evidence from The Gambia
title_sort does socio-economic status explain the differentials in malaria parasite prevalence? evidence from the gambia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289203/
https://www.ncbi.nlm.nih.gov/pubmed/25416303
http://dx.doi.org/10.1186/1475-2875-13-449
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