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

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...

Full description

Bibliographic Details
Published in:Malaria Journal
Main Authors: Reid Heidi L, Haque Ubydul, Roy Shyamal, Islam Nazrul, Clements Archie CA
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2012
Subjects:
Online Access:https://doi.org/10.1186/1475-2875-11-170
https://doaj.org/article/aff0ae989f9342bb84d8c726f9c63307
id ftdoajarticles:oai:doaj.org/article:aff0ae989f9342bb84d8c726f9c63307
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:aff0ae989f9342bb84d8c726f9c63307 2023-05-15T15:13:36+02:00 Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007 Reid Heidi L Haque Ubydul Roy Shyamal Islam Nazrul Clements Archie CA 2012-05-01T00:00:00Z https://doi.org/10.1186/1475-2875-11-170 https://doaj.org/article/aff0ae989f9342bb84d8c726f9c63307 EN eng BMC http://www.malariajournal.com/content/11/1/170 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-11-170 1475-2875 https://doaj.org/article/aff0ae989f9342bb84d8c726f9c63307 Malaria Journal, Vol 11, Iss 1, p 170 (2012) Malaria Bangladesh Spatial Temporal Seasonality Bayesian Plasmodium falciparum Plasmodium vivax Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2012 ftdoajarticles https://doi.org/10.1186/1475-2875-11-170 2022-12-31T01:41:54Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 11 1 170
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Malaria
Bangladesh
Spatial
Temporal
Seasonality
Bayesian
Plasmodium falciparum
Plasmodium vivax
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
spellingShingle Malaria
Bangladesh
Spatial
Temporal
Seasonality
Bayesian
Plasmodium falciparum
Plasmodium vivax
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
Reid Heidi L
Haque Ubydul
Roy Shyamal
Islam Nazrul
Clements Archie CA
Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007
topic_facet Malaria
Bangladesh
Spatial
Temporal
Seasonality
Bayesian
Plasmodium falciparum
Plasmodium vivax
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
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.
format Article in Journal/Newspaper
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
title 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_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_sort characterizing the spatial and temporal variation of malaria incidence in bangladesh, 2007
publisher BMC
publishDate 2012
url https://doi.org/10.1186/1475-2875-11-170
https://doaj.org/article/aff0ae989f9342bb84d8c726f9c63307
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Malaria Journal, Vol 11, Iss 1, p 170 (2012)
op_relation http://www.malariajournal.com/content/11/1/170
https://doaj.org/toc/1475-2875
doi:10.1186/1475-2875-11-170
1475-2875
https://doaj.org/article/aff0ae989f9342bb84d8c726f9c63307
op_doi https://doi.org/10.1186/1475-2875-11-170
container_title Malaria Journal
container_volume 11
container_issue 1
container_start_page 170
_version_ 1766344136985673728