Evidence map›Paper›PMID 42894170›Full record

ReviewMalaria journal2026

A target product profile for a rapid diagnostic test to monitor mosquito gene drive presence and frequency.

Prateek Verma, Sebald Verkuijl, Calvin K Yee, Filippo Randazzo, Damaris Matoke-Muhia, Jonathan Kayondo, Nikolai Windbichler, Michael R Santos, Frédéric Tripet, John M Marshall

Abstract readReview
In one paragraph

Review in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Prateek Verma *Divisions of Biostatistics & Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
Sebald Verkuijl *Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, UK.
Calvin K Yee *Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, UK.
Filippo RandazzoLeverage Science, LLC, Berkeley, CA, USA.
Damaris Matoke-MuhiaCentre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya.
Jonathan KayondoDepartment of Entomology, Uganda Virus Research Institute, Entebbe, Uganda.
Nikolai WindbichlerDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, UK.
Michael R SantosFoundation for the National Institutes of Health, North Bethesda, Maryland, USA.
Frédéric TripetSwiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, Switzerland. frederic.tripet@swisstph.ch.
John M MarshallDivisions of Biostatistics & Epidemiology, School of Public Health, University of California, Berkeley, CA, USA. john.marshall@berkeley.edu.ORCID https://orcid.org/0000-0003-0603-7341

Funding

Bill and Melinda Gates Foundation INV-058071Bill and Melinda Gates Foundation INV-078535Open Philanthropy Project OPP1158151
6 · The paper itself

Abstract

Malaria remains a major global health challenge, with over 263 million cases and nearly 600,000 deaths reported in 2023, the majority in sub-Saharan Africa. While conventional interventions such as insecticide-treated nets, indoor residual spraying and antimalarial drugs have reduced transmission, progress has stalled due to the limitations of these interventions and the emergence of resistance. Gene drive-modified mosquitoes represent a promising, potentially transformative vector control strategy, capable of spreading malaria-refractory traits or suppressing mosquito populations. Successful field deployment will depend upon monitoring systems to track the presence and frequency of gene drive constructs as they spread and persist. Current molecular surveillance techniques, though effective, are resource-intensive and reliant on laboratory infrastructure and technical competencies. Here, we make the case for a near-universal and low-cost rapid diagnostic test (RDT) designed to detect gene drive mosquitoes in the field, to complement existing surveillance infrastructure. Two use cases are outlined: (i) to detect the presence of the drive construct in a new population, and (ii) to provide an estimate of drive frequency prior to more accurate laboratory-based measurements. We provide a target product profile for the RDT outlining minimally essential and ideal characteristics, including test procedures, sensitivity, specificity, usability by a range of stakeholders in field settings, and compatibility with pooled testing of mosquito samples. An RDT for gene drive construct detection would support community access and participation in monitoring, enhance regulatory oversight, and promote transparency in field trials, thereby facilitating responsible deployment of gene drive-based malaria interventions.

Indexed as

AnophelesGene Drive TechnologyMalariaMosquito ControlMosquito VectorsAnimalsRapid Diagnostic TestsAnopheles mosquitoesGene driveMalaria controlMosquito monitoringPooled samplesRapid diagnostic testTarget product profile

Identifiers

PMID42894170
PMCPMC13679231

What OpenQuestion holds

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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.