Imperial College London
Portrait Picture

ProfessorAustinBurt

Faculty of Natural Sciences, Department of Life Sciences (Silwood Park)

Professor of Evolutionary Genetics
 
 
 
//

Contact

 

+44 (0)20 7594 2266a.burt

 
 
//

Location

 

Silwood ParkSilwood Park

//

Summary

 

Publications

Citation

BibTex format

@article{Eckhoff:2017:10.1073/pnas.1611064114,
author = {Eckhoff, PA and Wenger, EA and Godfray, HC and Burt, A},
doi = {10.1073/pnas.1611064114},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
pages = {E255--E264},
title = {Impact of mosquito gene drive on malaria elimination in a computational model with explicit spatial and temporal dynamics},
url = {http://dx.doi.org/10.1073/pnas.1611064114},
volume = {114},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The renewed effort to eliminate malaria and permanently remove its tremendous burden highlights questions of what combination of tools would be sufficient in various settings and what new tools need to be developed. Gene drive mosquitoes constitute a promising set of tools, with multiple different possible approaches including population replacement with introduced genes limiting malaria transmission, driving-Y chromosomes to collapse a mosquito population, and gene drive disrupting a fertility gene and thereby achieving population suppression or collapse. Each of these approaches has had recent success and advances under laboratory conditions, raising the urgency for understanding how each could be deployed in the real world and the potential impacts of each. New analyses are needed as existing models of gene drive primarily focus on nonseasonal or nonspatial dynamics. We use a mechanistic, spatially explicit, stochastic, individual-based mathematical model to simulate each gene drive approach in a variety of sub-Saharan African settings. Each approach exhibits a broad region of gene construct parameter space with successful elimination of malaria transmission due to the targeted vector species. The introduction of realistic seasonality in vector population dynamics facilitates gene drive success compared with nonseasonal analyses. Spatial simulations illustrate constraints on release timing, frequency, and spatial density in the most challenging settings for construct success. Within its parameter space for success, each gene drive approach provides a tool for malaria elimination unlike anything presently available. Provided potential barriers to success are surmounted, each achieves high efficacy at reducing transmission potential and lower delivery requirements in logistically challenged settings.
AU  - Eckhoff,PA
AU  - Wenger,EA
AU  - Godfray,HC
AU  - Burt,A
DO  - 10.1073/pnas.1611064114
EP  - 264
PY  - 2017///
SN  - 1091-6490
SP  - 255
TI  - Impact of mosquito gene drive on malaria elimination in a computational model with explicit spatial and temporal dynamics
T2  - Proceedings of the National Academy of Sciences of the United States of America
UR  - http://dx.doi.org/10.1073/pnas.1611064114
UR  - http://www.ncbi.nlm.nih.gov/pubmed/28028208
UR  - https://www.pnas.org/content/114/2/E255/
UR  - http://hdl.handle.net/10044/1/43640
VL  - 114
ER  -
Download