Sangam: A Confluence of Knowledge Streams

The role of age, ethnicity and environmental factors in modulating malaria risk in Rajasthali, Bangladesh

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dc.contributor Geography
dc.creator Haque, Ubydul
dc.creator Soares Magalhães, Ricardo J.
dc.creator Mitra, Dipak
dc.creator Kolivras, Korine N.
dc.creator Schmidt, Wolf-Peter
dc.creator Haque, Rashidul
dc.creator Glass, Gregory E.
dc.date 2012-08-24T10:49:20Z
dc.date 2012-08-24T10:49:20Z
dc.date 2011-12-15
dc.date 2012-08-24T10:49:20Z
dc.date.accessioned 2023-03-01T18:54:35Z
dc.date.available 2023-03-01T18:54:35Z
dc.identifier Malaria Journal. 2011 Dec 15;10(1):367
dc.identifier http://hdl.handle.net/10919/18778
dc.identifier https://doi.org/10.1186/1475-2875-10-367
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281844
dc.description Background Malaria is endemic in the Rajasthali region of the Chittagong Hill Tracts in Bangladesh and the Rajasthali region is the most endemic area of Bangladesh. Quantifying the role of environmental and socio-economic factors in the local spatial patterns of malaria endemicity can contribute to successful malaria control and elimination. This study aimed to investigate the role of environmental factors on malaria risk in Rajasthali and to quantify the geographical clustering in malaria risk unaccounted by these factors. Method A total of 4,200 (78.9%; N = 5,322) households were targeted in Rajasthali in July, 2009, and 1,400 individuals were screened using a rapid diagnostic test (Falci-vax). These data were linked to environmental and socio-economic data in a geographical information system. To describe the association between environmental factors and malaria risk, a generalized linear mixed model approach was utilized. The study investigated the role of environmental factors on malaria risk by calculating their population-attributable fractions (PAF), and used residual semivariograms to quantify the geographical clustering in malaria risk unaccounted by these factors. Results Overall malaria prevalence was 11.7%. Out of 5,322 households, 44.12% households were living in areas with malaria prevalence of ≥ 10%. The results from statistical analysis showed that age, ethnicity, proximity to forest, household density, and elevation were significantly and positively correlated with the malaria risk and PAF estimation. The highest PAF of malaria prevalence was 47.7% for third tertile (n = 467) of forest cover, 17.6% for second tertile (n = 467) of forest cover and 19.9% for household density >1,000. Conclusion Targeting of malaria health interventions at small spatial scales in Bangladesh should consider the social and socio-economic risk factors identified as well as alternative methods for improving equity of access to interventions across whole communities.
dc.description Published version
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dc.format text/xml
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dc.language en_US
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights Ubydul Haque et al.; licensee BioMed Central Ltd.
dc.title The role of age, ethnicity and environmental factors in modulating malaria risk in Rajasthali, Bangladesh
dc.title Malaria Journal
dc.type Article - Refereed
dc.type Text


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