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Prioritising Infectious Disease Mapping.

Abstract:

Increasing volumes of data and computational capacity afford unprecedented opportunities to scale up infectious disease (ID) mapping for public health uses. Whilst a large number of IDs show global spatial variation, comprehensive knowledge of these geographic patterns is poor. Here we use an objective method to prioritise mapping efforts to begin to address the large deficit in global disease maps currently available.Automation of ID mapping requires bespoke methodological adjustments tailor...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pntd.0003756

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More from this funder
Name:
Bill and Melinda Gates Foundation
Funding agency for:
Golding, N
Hay, S
Grant:
OPP1053338
OPP1093011
OPP1093011
More from this funder
Name:
Wellcome Trust
Funding agency for:
Howes, R
Wiebe, A
Battle, K
Moyes, C
Grant:
Senior Research Fellowship (#095066)
More from this funder
Name:
University of Oxford
Funding agency for:
Pigott, D
Grant:
Sir Richard Southwood Graduate Scholarship
Publisher:
Public Library of Science
Journal:
PLoS neglected tropical diseases More from this journal
Volume:
9
Issue:
6
Pages:
e0003756
Publication date:
2015-06-10
DOI:
EISSN:
1935-2735
ISSN:
1935-2727
Language:
English
Pubs id:
pubs:527025
UUID:
uuid:f71a975e-9604-4f3a-96ce-e82faf7cad25
Local pid:
pubs:527025
Source identifiers:
527025
Deposit date:
2016-01-19

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