Evidence map›Paper›PMID 28028208›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Impact of mosquito gene drive on malaria elimination in a computational model with explicit spatial and temporal dynamics.

Philip A Eckhoff, Edward A Wenger, H Charles J Godfray, Austin Burt

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The ethics of genome editing in non-human animals: a systematic review of reasons reported in the academic literature.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Pooled it
  2. Pooled it
  3. Article
  4. Long-term stability and performance of Cas9/guide RNA-based gene drives in anopheline mosquitoes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
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  7. Response to "Field Trials Need Genetic Localization, Not Geographic Isolation".The American journal of tropical medicine and hygiene · 2025
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  11. Review
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  17. Eliminating malaria vectors with precision-guided sterile males.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Article

45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Philip A EckhoffInstitute for Disease Modeling, Bellevue, WA 98005; peckhoff@idmod.org.
Edward A WengerInstitute for Disease Modeling, Bellevue, WA 98005.
H Charles J GodfrayDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.
Austin BurtDepartment of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire SL5 7PY, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Gene Drive TechnologyModels, TheoreticalAnimalsAnophelesInsect VectorsMalariaMosquito ControlTanzaniaAnopheleseliminationgene drivemalariamosquitoes

Identifiers

PMID28028208
PMCPMC5240713

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.