Evidence map›Paper›PMID 35126652›Full record

ArticleEvolutionary applications2022

Modeling impact and cost-effectiveness of driving-Y gene drives for malaria elimination in the Democratic Republic of the Congo.

Nawaphan Metchanun, Christian Borgemeister, Gaston Amzati, Joachim von Braun, Milen Nikolov, Prashanth Selvaraj, Jaline Gerardin

Abstract read
In one paragraph

Article in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Review
  2. Article
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  10. The importance of effective data sharing and reuse to funders and others supporting research.Learned publishing : journal of the Association of Learned and Professional Society Publishers · 2022
    Article
  11. Article
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

7 authors.

Nawaphan MetchanunCenter for Development Research (ZEF) University of Bonn Bonn Germany.ORCID https://orcid.org/0000-0002-3101-4136
Christian BorgemeisterCenter for Development Research (ZEF) University of Bonn Bonn Germany.ORCID https://orcid.org/0000-0001-8067-0335
Gaston AmzatiUniversité Evangélique en Afrique Bukavu Democratic Republic of the Congo.ORCID https://orcid.org/0000-0002-9019-224X
Joachim von BraunCenter for Development Research (ZEF) University of Bonn Bonn Germany.ORCID https://orcid.org/0000-0001-6571-4838
Milen NikolovInstitute for Disease Modeling Bellevue Washington USA.
Prashanth SelvarajInstitute for Disease Modeling Bellevue Washington USA.ORCID https://orcid.org/0000-0001-7565-2300
Jaline GerardinInstitute for Disease Modeling Bellevue Washington USA.ORCID https://orcid.org/0000-0001-8071-9928

Funding

Wellcome Trust
6 · The paper itself

Abstract

Malaria elimination will be challenging in countries that currently continue to bear high malaria burden. Sex-ratio-distorting gene drives, such as driving-Y, could play a role in an integrated elimination strategy if they can effectively suppress vector populations. Using a spatially explicit, agent-based model of malaria transmission in eight provinces spanning the range of transmission intensities across the Democratic Republic of the Congo, we predict the impact and cost-effectiveness of integrating driving-Y gene drive mosquitoes in malaria elimination strategies that include existing interventions such as insecticide-treated nets and case management of symptomatic malaria. Gene drive mosquitoes could eliminate malaria and were the most cost-effective intervention overall if the drive component was highly effective with at least 95% X-shredder efficiency at relatively low fertility cost, and associated cost of deployment below 7.17 $int per person per year. Suppression gene drive could be a cost-effective supplemental intervention for malaria elimination, but tight constraints on drive effectiveness and cost ceilings may limit its feasibility.

Indexed as

Africabiotechnologygene drivegenetically modified organismshigh burden countriesmalariamalaria eliminationsex ratio distorter

Identifiers

PMID35126652
PMCPMC8792473

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.