Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
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Reid, Heidi L; Haque, Ubydul; Roy, Shyamal; Islam, Nazrul; Clements, Archie CA
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...[Show more]
dc.contributor.author | Reid, Heidi L | |
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dc.contributor.author | Haque, Ubydul | |
dc.contributor.author | Roy, Shyamal | |
dc.contributor.author | Islam, Nazrul | |
dc.contributor.author | Clements, Archie CA | |
dc.date.accessioned | 2016-01-13T00:38:58Z | |
dc.date.available | 2016-01-13T00:38:58Z | |
dc.identifier.issn | 1475-2875 | |
dc.identifier.uri | http://hdl.handle.net/1885/95365 | |
dc.description.abstract | 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. | |
dc.description.sponsorship | ACAC is supported by a National Health and Medical Research Council Career Development Award. UH is supported by an A. Ralph and Sylvia E. Barr Fellowship from the Johns Hopkins Bloomberg School of Public Health W. Harry Feinstone Department of Molecular Microbiology and Immunology. | |
dc.publisher | BioMed Central | |
dc.rights | © 2012 Reid et al.; licensee BioMed Central Ltd. 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. | |
dc.source | Malaria Journal | |
dc.subject | animals | |
dc.subject | bangladesh | |
dc.subject | humans | |
dc.subject | incidence | |
dc.subject | malaria, falciparum | |
dc.subject | malaria, vivax | |
dc.subject | risk assessment | |
dc.subject | risk factors | |
dc.subject | time factors | |
dc.subject | topography, medical | |
dc.title | Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007 | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 11 | |
dc.date.issued | 2012-05-21 | |
local.identifier.absfor | 060800 | |
local.identifier.ariespublication | U3488905xPUB4084 | |
local.publisher.url | http://www.biomedcentral.com/ | |
local.type.status | Published Version | |
local.contributor.affiliation | Reid, Heidi, University of Queensland, Australia | |
local.contributor.affiliation | Haque, Ubydul, International Centre for Diarrhoeal Disease Research, Bangladesh | |
local.contributor.affiliation | Roy, Shyamal, Malaria and Parasitic Disease Control, Bangladesh | |
local.contributor.affiliation | Islam, Nazrul, Malaria and Parasitic Disease Control, Bangladesh | |
local.contributor.affiliation | Clements, Archie, College of Medicine, Biology and Environment, CMBE Research School of Population Health, Natl Centre for Epidemiology & Population Health, The Australian National University | |
local.identifier.essn | 1475-2875 | |
local.bibliographicCitation.issue | 1 | |
local.bibliographicCitation.startpage | 170 | |
local.bibliographicCitation.lastpage | 8 | |
local.identifier.doi | 10.1186/1475-2875-11-170 | |
dc.date.updated | 2016-02-24T10:05:14Z | |
local.identifier.scopusID | 2-s2.0-84861205359 | |
Collections | ANU Research Publications |
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