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Journal article

The effects of spatial population dataset choice on estimates of population at risk of disease.

Abstract:

BACKGROUND: The spatial modeling of infectious disease distributions and dynamics is increasingly being undertaken for health services planning and disease control monitoring, implementation, and evaluation. Where risks are heterogeneous in space or dependent on person-to-person transmission, spatial data on human population distributions are required to estimate infectious disease risks, burdens, and dynamics. Several different modeled human population distribution datasets are available an...

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Publication status:
Published

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Publisher copy:
10.1186/1478-7954-9-4

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author


Journal:
Population health metrics More from this journal
Volume:
9
Issue:
1
Pages:
4
Publication date:
2011-01-01
DOI:
EISSN:
1478-7954
ISSN:
1478-7954


Language:
English
Pubs id:
pubs:264871
UUID:
uuid:17fd4a6d-9a3e-4d2e-80b8-2816eafae369
Local pid:
pubs:264871
Source identifiers:
264871
Deposit date:
2012-12-19
ARK identifier:

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