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Spatial prediction of malaria prevalence in an endemic area of Bangladesh

Haque, Ubydul; Magalhães, Ricardo; Reid, Heidi L; Clements, Archie CA; Ahmed, Syed; Islam, Akramul; Yamamoto, Taro; Haque, Rashidul; Glass, Gregory E

Description

BACKGROUND Malaria is a major public health burden in Southeastern Bangladesh, particularly in the Chittagong Hill Tracts region. Malaria is endemic in 13 districts of Bangladesh and the highest prevalence occurs in Khagrachari (15.47%). METHODS A risk map was developed and geographic risk factors identified using a Bayesian approach. The Bayesian geostatistical model was developed from previously identified individual and environmental covariates (p < 0.2; age, different forest types,...[Show more]

CollectionsANU Research Publications
Date published: 2010-05-09
Type: Journal article
URI: http://hdl.handle.net/1885/95188
Source: Malaria Journal
DOI: 10.1186/1475-2875-9-120

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