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Mapping malaria risk in Bangladesh using Bayesian geostatistical models

Reid, Heidi; Haque, Ubydul; Tatem, Andrew J; Vallely, Andrew; Ahmed, Syed Masud; Islam, Akramul; Haque, Rashidul; Clements, Archie


Background malaria-control programs are increasingly dependent on accurate risk maps to effectively guide the allocation of interventions and resources. Advances in model-based geostatistics and geographical information systems (GIS) have enabled researchers to better understand factors affecting malaria transmission and thus, more accurately determine the limits of malaria transmission globally and nationally. Here, we construct Plasmodium falciparum risk maps for Bangladesh for 2007 at a...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: American Journal of Tropical Medicine and Hygiene
DOI: 10.4269/ajtmh.2010.10-0154


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