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Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007

BACKGROUND: Malaria remains a significant health problem in Bangladesh affecting 13 of 64 districts. The risk of malaria is variable across the endemic areas and throughout the year. A better understanding of the spatial and temporal patterns in malaria risk and the determinants driving the variatio...

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Autores principales: Reid, Heidi L, Haque, Ubydul, Roy, Shyamal, Islam, Nazrul, Clements, Archie CA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465176/
https://www.ncbi.nlm.nih.gov/pubmed/22607348
http://dx.doi.org/10.1186/1475-2875-11-170
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author Reid, Heidi L
Haque, Ubydul
Roy, Shyamal
Islam, Nazrul
Clements, Archie CA
author_facet Reid, Heidi L
Haque, Ubydul
Roy, Shyamal
Islam, Nazrul
Clements, Archie CA
author_sort Reid, Heidi L
collection PubMed
description BACKGROUND: Malaria remains a significant health problem in Bangladesh affecting 13 of 64 districts. The risk of malaria is variable across the endemic areas and throughout the year. A better understanding of the spatial and temporal patterns in malaria risk and the determinants driving the variation are crucial for the appropriate targeting of interventions under the National Malaria Control and Prevention Programme. METHODS: Numbers of Plasmodium falciparum and Plasmodium vivax malaria cases reported by month in 2007, across the 70 endemic thanas (sub-districts) in Bangladesh, were assembled from health centre surveillance reports. Bayesian Poisson regression models of incidence were constructed, with fixed effects for monthly rainfall, maximum temperature and elevation, and random effects for thanas, with a conditional autoregressive prior spatial structure. RESULTS: The annual incidence of reported cases was 34.0 and 9.6 cases/10,000 population for P. falciparum and P. vivax respectively and the population of the 70 malaria-endemic thanas was approximately 13.5 million in 2007. Incidence of reported cases for both types of malaria was highest in the mountainous south-east of the country (the Chittagong Hill Tracts). Models revealed statistically significant positive associations between the incidence of reported P. vivax and P. falciparum cases and rainfall and maximum temperature. CONCLUSIONS: The risk of P. falciparum and P. vivax was spatially variable across the endemic thanas of Bangladesh and also highly seasonal, suggesting that interventions should be targeted and timed according to the risk profile of the endemic areas. Rainfall, temperature and elevation are major factors driving the spatiotemporal patterns of malaria in Bangladesh.
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spelling pubmed-34651762012-10-10 Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007 Reid, Heidi L Haque, Ubydul Roy, Shyamal Islam, Nazrul Clements, Archie CA Malar J Research BACKGROUND: Malaria remains a significant health problem in Bangladesh affecting 13 of 64 districts. The risk of malaria is variable across the endemic areas and throughout the year. A better understanding of the spatial and temporal patterns in malaria risk and the determinants driving the variation are crucial for the appropriate targeting of interventions under the National Malaria Control and Prevention Programme. METHODS: Numbers of Plasmodium falciparum and Plasmodium vivax malaria cases reported by month in 2007, across the 70 endemic thanas (sub-districts) in Bangladesh, were assembled from health centre surveillance reports. Bayesian Poisson regression models of incidence were constructed, with fixed effects for monthly rainfall, maximum temperature and elevation, and random effects for thanas, with a conditional autoregressive prior spatial structure. RESULTS: The annual incidence of reported cases was 34.0 and 9.6 cases/10,000 population for P. falciparum and P. vivax respectively and the population of the 70 malaria-endemic thanas was approximately 13.5 million in 2007. Incidence of reported cases for both types of malaria was highest in the mountainous south-east of the country (the Chittagong Hill Tracts). Models revealed statistically significant positive associations between the incidence of reported P. vivax and P. falciparum cases and rainfall and maximum temperature. CONCLUSIONS: The risk of P. falciparum and P. vivax was spatially variable across the endemic thanas of Bangladesh and also highly seasonal, suggesting that interventions should be targeted and timed according to the risk profile of the endemic areas. Rainfall, temperature and elevation are major factors driving the spatiotemporal patterns of malaria in Bangladesh. BioMed Central 2012-05-21 /pmc/articles/PMC3465176/ /pubmed/22607348 http://dx.doi.org/10.1186/1475-2875-11-170 Text en Copyright ©2012 Reid 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
Reid, Heidi L
Haque, Ubydul
Roy, Shyamal
Islam, Nazrul
Clements, Archie CA
Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
title Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
title_full Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
title_fullStr Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
title_full_unstemmed Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
title_short Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
title_sort characterizing the spatial and temporal variation of malaria incidence in bangladesh, 2007
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465176/
https://www.ncbi.nlm.nih.gov/pubmed/22607348
http://dx.doi.org/10.1186/1475-2875-11-170
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