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Using remotely sensed night-time light as a proxy for poverty in Africa

Abstract:

Population health is linked closely to poverty. To assess the effectiveness of health interventions it is critical to monitor the spatial and temporal changes in the health indicators of populations and outcomes across varying levels of poverty. Existing measures of poverty based on income, consumption or assets are difficult to compare across geographic settings and are expensive to construct. Remotely sensed data on artificial night time lights (NTL) have been shown to correlate with gross ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1186/1478-7954-6-5

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Institution:
"Centre for Geographic Medicine, KEMRI - University of Oxford - Wellcome Trust Collaborative Programme, Kenyatta National Hospital Grounds, Nairobi, Kenya", "University of Oxford"
Department:
Medical Sciences Division - Clinical Vaccinology and Tropical Medicine,Centre for (CCVTM)
Role:
Author
More by this author
Institution:
Centre for Geographic Medicine, KEMRI - University of Oxford - Wellcome Trust Collaborative Programme, Kenyatta National Hospital Grounds, Nairobi, Kenya
Department:
Malaria Public Health and Epidemiology Group
Role:
Author
More by this author
Institution:
"University of Southampton", "University of Oxford"
Research group:
Spatial Ecology and Epidemiology Group
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
More by this author
Institution:
"Centre for Geographic Medicine, KEMRI - University of Oxford - Wellcome Trust Collaborative Programme, Kenyatta National Hospital Grounds, Nairobi, Kenya", "University of Oxford"
Research group:
Spatial Ecology and Epidemiology Group
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
More by this author
Institution:
"Centre for Geographic Medicine, KEMRI - University of Oxford - Wellcome Trust Collaborative Programme, Kenyatta National Hospital Grounds, Nairobi, Kenya", "University of Oxford"
Department:
Medical Sciences Division - Clinical Vaccinology and Tropical Medicine,Centre for (CCVTM)
Role:
Author
Publisher:
BioMed Central Ltd. Publisher's website
Journal:
Population Health Metrics Journal website
Volume:
6
Pages:
Article: 5
Publication date:
2008-10-05
DOI:
ISSN:
1478-7954
URN:
uuid:db39a113-a27e-40ec-933b-032ecaa5ccbd
Local pid:
ora:4107
Language:
English
Subjects:

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