Journal article : Review
Towards integrated malaria molecular surveillance in Africa
- Abstract:
- Integrated malaria molecular surveillance (iMMS) systems are essential for Africa's expanding malaria genomics initiatives. Here we highlight a few initiatives and demonstrate how iMMS can support evidence-based decisions and policies for National Malaria Programs and other malaria control stakeholders. We conclude with key considerations for advancing these malaria genomics initiatives towards sustainable iMMS.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 676.2KB, Terms of use)
-
(Preview, Supplementary materials, pdf, 271.9KB, Terms of use)
-
- Publisher copy:
- 10.1016/j.pt.2024.09.005
Authors
+ National Institutes of Health
More from this funder
- Funder identifier:
- 10.13039/100000002
- Grant:
- R01AI156267
+ Bill & Melinda Gates Foundation
More from this funder
- Funder identifier:
- 10.13039/100000865
- Grant:
- INV-024346
- INV-031512
- INV-068808
- INV-002202
- INV-007590
- INV-050873
+ National Institute for Health and Care Research
More from this funder
- Funder identifier:
- 10.13039/501100000272
- Grant:
- NIHR134717
+ American Society of Tropical Medicine and Hygiene
More from this funder
- Funder identifier:
- 10.13039/100001949
+ National Institute of Allergy and Infectious Diseases
More from this funder
- Funder identifier:
- https://ror.org/043z4tv69
- Publisher:
- Cell Press
- Journal:
- Trends in Parasitology More from this journal
- Volume:
- 40
- Issue:
- 11
- Pages:
- 964-969
- Place of publication:
- England
- Publication date:
- 2024-10-29
- Acceptance date:
- 2024-09-11
- DOI:
- EISSN:
-
1471-5007
- ISSN:
-
1471-4922
- Pmid:
-
39477780
- Language:
-
English
- Keywords:
- Subtype:
-
Review
- Pubs id:
-
2054433
- Local pid:
-
pubs:2054433
- Source identifiers:
-
W4403860941
- Deposit date:
-
2026-04-10
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd.
- Copyright date:
- 2024
- Rights statement:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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