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...
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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 |
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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 |
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170 |
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1766344136985673728 |