Evidence map›Paper›PMID 42443927›Full record

ArticleMalaria journal2026

Local implementation of scalable malaria molecular surveillance in a low-resource setting: a North-South collaborative model.

Martin Lukindu, Edward Lukyamuzi, Faisal Ashraf, Sanjay C Nagi, Alfred Ssekagiri, Trevor Mugoya, Calvin Yee, Solome Mukwaya, Eric Lucas, Tony Nolan and 2 more

Abstract read
In one paragraph

Article 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

12 authors.

Martin LukinduDepartment of Entomology, Uganda Virus Research Institute (UVRI), P.O.BOX 49, Entebbe, Uganda. mlukindu@uvri.go.ug.
Edward LukyamuziDepartment of Entomology, Uganda Virus Research Institute (UVRI), P.O.BOX 49, Entebbe, Uganda.
Faisal AshrafDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Sanjay C NagiDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Alfred SsekagiriDepartment of Entomology, Uganda Virus Research Institute (UVRI), P.O.BOX 49, Entebbe, Uganda.
Trevor MugoyaDepartment of Entomology, Uganda Virus Research Institute (UVRI), P.O.BOX 49, Entebbe, Uganda.
Calvin YeeDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Solome MukwayaDepartment of Entomology, Uganda Virus Research Institute (UVRI), P.O.BOX 49, Entebbe, Uganda.
Eric LucasDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Tony NolanDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Martin DonnellyDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Jonathan KayondoDepartment of Entomology, Uganda Virus Research Institute (UVRI), P.O.BOX 49, Entebbe, Uganda.

Funding

Bill and Melinda Gates Foundation INV-035864Bill & Melinda Gates Foundation INV-035864Gates Foundation INV-035864
6 · The paper itself

Abstract

Molecular surveillance of malaria vectors remains critically underutilized in sub-Saharan Africa, largely due to limited human capacity and technical resources, despite the region bearing the highest global burden of malaria. In a North-South collaborative effort, Uganda Virus Research Institute (UVRI) and Liverpool School of Tropical Medicine (LSTM) built capacity and improved on existing computational capabilities in line with molecular surveillance of Anopheles gambiae, the primary malaria vector in sub-Saharan Africa. We interrogated an amplicon panel capable of simultaneously detecting 55 Insecticide Resistance markers and 35 Ancestral Informative Markers, as well as polymorphisms in the doublesex gene-a key target for homing-based gene drives aimed at suppressing malaria vector populations. This represents a substantial advancement over conventional surveillance tools. The panel was tested and locally validated at UVRI with the lab colony and wild populations and a versatile data analysis pipeline for the panel was designed for raw data processing, analysis, and visualization. The tools and experience from this collaborative effort enhance molecular vector surveillance in the region and beyond, while also acting as a template for similar collaborations by other institutions.

Indexed as

AnophelesEpidemiological MonitoringInsecticide ResistanceMalariaMosquito VectorsAnimalsHumansResource-Limited SettingsUganda

Identifiers

PMID42443927
PMCPMC13647898

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.