- Abstract:
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Background The persistence of malaria in large parts of sub-Saharan Africa has motivated the development of novel tools to complement existing control programmes, including gene-drive technologies to modify mosquito vector populations. Here, we use a stochastic simulation model to explore the potential of using a driving-Y chromosome to suppress vector populations in a 106 km2 area of West Africa including all of Burkina Faso.
Results
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's Version
- Files:
-
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(pdf, 2.8MB)
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- Publisher copy:
- 10.1186/s12915-019-0645-5
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- Publisher:
- BioMed Central Publisher's website
- Journal:
- BMC Biology Journal website
- Volume:
- 17
- Pages:
- Article: 26
- Publication date:
- 2019-03-29
- Acceptance date:
- 2019-03-06
- DOI:
- ISSN:
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1741-7007
- Pubs id:
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pubs:983303
- URN:
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uri:dfad6f2a-0035-4287-9c82-d7fbf2c4b371
- UUID:
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uuid:dfad6f2a-0035-4287-9c82-d7fbf2c4b371
- Local pid:
- pubs:983303
- Keywords:
- Copyright holder:
- North et al.
- Copyright date:
- 2019
- Notes:
- This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Journal article
Modelling the potential of genetic control of malaria mosquitoes at national scale
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