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Mapping trends in insecticide resistance phenotypes in African malaria vectors

Abstract:

Mitigating the threat of insecticide resistance in African malaria vector populations requires comprehensive information about where resistance occurs, to what degree, and how this has changed over time. Estimating these trends is complicated by the sparse, heterogeneous distribution of observations of resistance phenotypes in field populations. We use 6,423 observations of the prevalence of resistance to the most important vector control insecticides to inform a Bayesian geostatistical ensem...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pbio.3000633

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0001-5531-1082
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0001-6749-7232
More by this author
Role:
Author
ORCID:
0000-0002-8188-4498
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0001-6779-3250
More by this author
Role:
Author
ORCID:
0000-0002-3200-7173
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Name:
Wellcome Trust
Grant:
108440/Z/15/Z
Publisher:
Public Library of Science
Journal:
PLOS Biology More from this journal
Volume:
18
Issue:
6
Article number:
e3000633
Publication date:
2020-06-25
Acceptance date:
2020-05-11
DOI:
EISSN:
1545-7885
ISSN:
1544-9173
Language:
English
Keywords:
Pubs id:
1115069
Local pid:
pubs:1115069
Deposit date:
2020-06-29

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