- Abstract:
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Background: Since 2000, the scale-up of malaria control interventions has substantially reduced morbidity and mortality caused by the disease globally, fuelling bold aims for disease elimination. In tandem with increased availability of geospatially resolved data, malaria control programmes increasingly use high-resolution maps to characterise spatially heterogeneous patterns of disease risk and thus efficiently target areas of high burden.
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Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 10.4MB)
-
- Publisher copy:
- 10.1016/s0140-6736(19)31097-9
-
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- Publisher:
- Elsevier Publisher's website
- Journal:
- Lancet Journal website
- Volume:
- 394
- Issue:
- 10195
- Pages:
- 322-331
- Publication date:
- 2019-06-19
- Acceptance date:
- 2019-04-24
- DOI:
- EISSN:
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1474-547X
- ISSN:
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0140-6736
- Pubs id:
-
pubs:1022953
- URN:
-
uri:5254613a-3dd3-4742-914d-1bda74481866
- UUID:
-
uuid:5254613a-3dd3-4742-914d-1bda74481866
- Local pid:
- pubs:1022953
- Language:
- English
- Copyright holder:
- Weiss et al.
- Copyright date:
- 2019
- Notes:
- Copyright © The Authors 2019. Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Journal article
Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a spatial and temporal modelling study
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