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Finding malaria hot-spots in northern Angola: the role of individual, household and environmental factors within a meso-endemic area

Overview of attention for article published in Malaria Journal, November 2012
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Title
Finding malaria hot-spots in northern Angola: the role of individual, household and environmental factors within a meso-endemic area
Published in
Malaria Journal, November 2012
DOI 10.1186/1475-2875-11-385
Pubmed ID
Authors

Ricardo J Soares Magalhães, Antonio Langa, José Carlos Sousa-Figueiredo, Archie CA Clements, Susana Vaz Nery

Abstract

Identifying and targeting hyper-endemic communities within meso-endemic areas constitutes an important challenge in malaria control in endemic countries such like Angola. Recent national and global predictive maps of malaria allow the identification and quantification of the population at risk of malaria infection in Angola, but their small-scale accuracy is surrounded by large uncertainties. To observe the need to develop higher resolution malaria endemicity maps a predictive risk map of malaria infection for the municipality of Dande (a malaria endemic area in Northern Angola) was developed and compared to existing national and global maps, the role of individual, household and environmental risk factors for malaria endemicity was quantified and the spatial variation in the number of children at-risk of malaria was estimated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Portugal 1 <1%
Australia 1 <1%
Kenya 1 <1%
India 1 <1%
Cambodia 1 <1%
Unknown 109 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 25%
Researcher 22 19%
Student > Ph. D. Student 16 14%
Student > Doctoral Student 9 8%
Other 7 6%
Other 20 17%
Unknown 13 11%
Readers by discipline Count As %
Medicine and Dentistry 30 26%
Agricultural and Biological Sciences 18 16%
Social Sciences 12 10%
Nursing and Health Professions 9 8%
Environmental Science 8 7%
Other 17 15%
Unknown 22 19%