Spatial malaria epidemiology in Bangladeshi highlands
Abstract Background Malaria is a major public health burden in the south-eastern part of Bangladesh, particularly in the Chittagong Hill Tracts region. In 2007, BRAC and ICDDR,B carried out a malaria prevalence survey in the endemic regions including the Khagrachari District. Methods This study was...
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ftdoajarticles:oai:doaj.org/article:b0a424b73da64b67a6eda206a48a6363 2023-05-15T15:09:17+02:00 Spatial malaria epidemiology in Bangladeshi highlands Moniruzzaman Mohammad Ahmed Syed Hossain Awlad Huda Mamun Haque Ubydul Haque Rashidul 2009-08-01T00:00:00Z https://doi.org/10.1186/1475-2875-8-185 https://doaj.org/article/b0a424b73da64b67a6eda206a48a6363 EN eng BMC http://www.malariajournal.com/content/8/1/185 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-8-185 1475-2875 https://doaj.org/article/b0a424b73da64b67a6eda206a48a6363 Malaria Journal, Vol 8, Iss 1, p 185 (2009) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2009 ftdoajarticles https://doi.org/10.1186/1475-2875-8-185 2022-12-30T23:46:31Z Abstract Background Malaria is a major public health burden in the south-eastern part of Bangladesh, particularly in the Chittagong Hill Tracts region. In 2007, BRAC and ICDDR,B carried out a malaria prevalence survey in the endemic regions including the Khagrachari District. Methods This study was done to detect clusters of malaria and identify the geographic risk factors. Thirty mauzas (the lowest administrative unit/bigger than village in Bangladesh that has polygon boundary) from the area were selected for the survey using probability proportional to size (PPS) sampling. Twenty-five households within each mauza were then randomly selected for screening, with a GPS point being recorded at each household. Rapid diagnostic tests were used to diagnose malaria. Results The average malaria prevalence in the District was 15.47% (n = 750). SaTScan detected five geographic clusters of malaria, one of which was highly significant (p = 0.001). Malaria cases were significantly associated with proximity to water bodies and forests. Conclusion The data presented in this paper are the first step to understanding malaria in southeastern Bangladesh from a micro-geographic perspective. The study results suggest that there are 'malaria hot-spots' in the study area. The government of Bangladesh and non-governmental organizations involved in malaria control should consider these results when planning malaria control measures. In particular, malaria maps should be updated on a regular basis as new data become available. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 8 1 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Moniruzzaman Mohammad Ahmed Syed Hossain Awlad Huda Mamun Haque Ubydul Haque Rashidul Spatial malaria epidemiology in Bangladeshi highlands |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Malaria is a major public health burden in the south-eastern part of Bangladesh, particularly in the Chittagong Hill Tracts region. In 2007, BRAC and ICDDR,B carried out a malaria prevalence survey in the endemic regions including the Khagrachari District. Methods This study was done to detect clusters of malaria and identify the geographic risk factors. Thirty mauzas (the lowest administrative unit/bigger than village in Bangladesh that has polygon boundary) from the area were selected for the survey using probability proportional to size (PPS) sampling. Twenty-five households within each mauza were then randomly selected for screening, with a GPS point being recorded at each household. Rapid diagnostic tests were used to diagnose malaria. Results The average malaria prevalence in the District was 15.47% (n = 750). SaTScan detected five geographic clusters of malaria, one of which was highly significant (p = 0.001). Malaria cases were significantly associated with proximity to water bodies and forests. Conclusion The data presented in this paper are the first step to understanding malaria in southeastern Bangladesh from a micro-geographic perspective. The study results suggest that there are 'malaria hot-spots' in the study area. The government of Bangladesh and non-governmental organizations involved in malaria control should consider these results when planning malaria control measures. In particular, malaria maps should be updated on a regular basis as new data become available. |
format |
Article in Journal/Newspaper |
author |
Moniruzzaman Mohammad Ahmed Syed Hossain Awlad Huda Mamun Haque Ubydul Haque Rashidul |
author_facet |
Moniruzzaman Mohammad Ahmed Syed Hossain Awlad Huda Mamun Haque Ubydul Haque Rashidul |
author_sort |
Moniruzzaman Mohammad |
title |
Spatial malaria epidemiology in Bangladeshi highlands |
title_short |
Spatial malaria epidemiology in Bangladeshi highlands |
title_full |
Spatial malaria epidemiology in Bangladeshi highlands |
title_fullStr |
Spatial malaria epidemiology in Bangladeshi highlands |
title_full_unstemmed |
Spatial malaria epidemiology in Bangladeshi highlands |
title_sort |
spatial malaria epidemiology in bangladeshi highlands |
publisher |
BMC |
publishDate |
2009 |
url |
https://doi.org/10.1186/1475-2875-8-185 https://doaj.org/article/b0a424b73da64b67a6eda206a48a6363 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 8, Iss 1, p 185 (2009) |
op_relation |
http://www.malariajournal.com/content/8/1/185 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-8-185 1475-2875 https://doaj.org/article/b0a424b73da64b67a6eda206a48a6363 |
op_doi |
https://doi.org/10.1186/1475-2875-8-185 |
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Malaria Journal |
container_volume |
8 |
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1 |
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1766340498994233344 |