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Determining global population distribution: methods, applications and data

Abstract:
Evaluating the total numbers of people at risk from infectious disease in the world requires not just tabular population data, but data that are spatially explicit and global in extent at a moderate resolution. This review describes the basic methods for constructing estimates of global population distribution with attention to recent advances in improving both spatial and temporal resolution. To evaluate the optimal resolution for the study of disease, the native resolution of the data inputs as well as that of the resulting outputs are discussed. Assumptions used to produce different population data sets are also described, with thei implications for the study of infectious disease. Lastly, the application of these population data sets in studies to assess disease distribution and health impacts is reviewed. The data described in this review are distributed in the accompanying DVD.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/S0065-308X(05)62004-0

Authors

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Institution:
Columbia University, NY, USA
Department:
Center for International Earth Science Information Network (CIESIN)
Role:
Author
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Institution:
World Bank, Washington, DC, USA
Department:
Development Research Group
Role:
Author
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Institution:
Columbia University, NY, USA
Department:
Center for International Earth Science Information Network (CIESIN)
Role:
Author
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Institution:
"Columbia University, NY, USA", "Università Cattolica del Sacro Cuore, sede di Brescia, Brescia, Italy"
Department:
Center for International Earth Science Information Network (CIESIN)
Role:
Author
More by this author
Institution:
"University of Oxford2, "Centre for Geographic Medicine, KEMRI, Nairobi, Kenya"
Research group:
TALA Research Group
Department:
Malaria Public Health & Epidemiology Group
Role:
Editor, Author

Contributors

Role:
Editor
Role:
Editor


Publisher:
Elsevier
Host title:
Global mapping of infectious diseases: methods, examples and emerging applications
Issue:
62
Pages:
119-156
Series:
Advances in Parasitology
Place of publication:
http://www.sciencedirect.com/science/bookseries/0065308X
Publication date:
2006-01-01
DOI:
ISBN:
9780120317622


Language:
English
Keywords:
Subjects:
UUID:
uuid:1a82e8c6-3ae3-47c5-819c-6961f52a421a
Local pid:
ora:5862
Deposit date:
2011-11-07
ARK identifier:

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