Evidence map›Paper›PMID 42546043›Full record

ArticlePLoS computational biology2026

Impact of insecticide resistance evolution on malaria vector control.

Neil Philip Hobbs, Sumin Kim, Thiery Masserey, Nakul Chitnis

Abstract read
In one paragraph

Article in PLoS computational biology, 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

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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

4 authors.

Neil Philip HobbsDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID 0000-0003-1480-3907
Sumin KimDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Thiery MassereyDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Nakul ChitnisDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.

Funding

Bill & Melinda Gates Foundation INV-025569
6 · The paper itself

Abstract

backgroundInsecticide-treated nets (ITNs) are the staple of malaria vector control. Given their importance, insecticide resistance (IR) is extremely concerning. Understanding how ITNs simultaneously impact the evolution of IR and malaria control is of critical importance, especially with next-generation mixture ITNs (NGM-ITNs) becoming available.

methodWe developed a mosquito population dynamics and genetics model to explore the simultaneous impact of ITNs on both malaria transmission (measured as vectorial capacity, an entomological measure of transmission) and IR evolution (resistance gene frequencies), and their interactions. We explored the long-term impact of interventions often neglected in other modelling exercises. We conducted three sets of simulations and sensitivity analyses. The first set investigated the impact of pyrethroid-only ITNs (PYR-ITNs) on IR evolution and its consequent impact on malaria vector control. The second set investigated the dual impact of NGM-ITNs in controlling malaria transmission and mitigating the evolution of resistance: IR management (IRM). The third set further considered net retention and insecticide decay.

resultsFor both ITN types, higher ITN coverage provided greater malaria vector control than lower coverage (of the same ITN type), even when considering IR evolution. In addition, NGM-ITNs were superior to PYR-ITNs for both malaria vector control and IRM. Even when NGM-ITNs were deployed at reduced coverage (up to 30%) than PYR-ITNs (to account for their higher procurement costs), their transmission control efficacy remains superior to PYR-ITNs by providing an additional IRM benefit through reduced selection pressures. Moreover, we found that insecticide selection on male mosquitoes may be an important consideration for malaria vector control loss. While male mosquitoes do not contribute to transmission, they propagate resistance genes, and their importance in this process is a knowledge gap. DISCUSSION: Our results highlight the need to consider IRM when evaluating NGM-ITNs, which is not adequately considered in the evaluation pipeline. Not accounting for IRM means new interventions are being undervalued, as a component of their long-term effectiveness is being overlooked.

Indexed as

Insecticide ResistanceMalariaMosquito ControlMosquito VectorsAnimalsAnophelesComputational BiologyComputer SimulationEvolution, MolecularHumansInsecticidesInsecticide-Treated BednetsPyrethrinsInsecticidesPyrethrins

Identifiers

PMID42546043
PMCPMC13446747

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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.