Evidence map›Paper›PMID 25567892›Full record

ArticleEvolutionary applications2009

Towards evolution-proof malaria control with insecticides.

Jacob C Koella, Penelope A Lynch, Matthew B Thomas, Andrew F Read

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
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

59 citing papers in PubMed, 91 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Jacob C KoellaDivision of Biology, Imperial College London Ascot, UK.
Penelope A LynchDepartment of Mathematics, The Open University Milton Keynes, UK.
Matthew B ThomasCenter for Infectious Disease Dynamics, Departments of Biology and Entomology, Pennsylvania State University, University Park PA, USA.
Andrew F ReadCenter for Infectious Disease Dynamics, Departments of Biology and Entomology, Pennsylvania State University, University Park PA, USA.
Pennsylvania State University · USImperial College London · GBThe Open University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As many strategies to control malaria use insecticides against adult mosquitoes, control is undermined by the continual evolution of resistant mosquitoes. Here we suggest that using alternative insecticides, or conventional insecticides in alternative ways might enable effective control, but delay considerably or prevent the evolution of resistance. Our reasoning relies on an epidemiological and an evolutionary principle: (i) the epidemiology of malaria is strongly influenced by the life-span of mosquitoes, as most infected mosquitoes die before the malaria parasite has completed its development; and (ii) evolutionary pressure is strongest in young individuals, for selection on individuals that have completed most of their reproduction has little evolutionary effect. It follows from these principles, first, that insecticides that kill mosquitoes several days after exposure can delay considerably the evolution of resistance and, second, that the evolution of resistance against larvicides can actually benefit control, if it is associated with shorter life-span or reduced biting in adults. If a late-acting insecticide and a larvicide are combined, the evolution of resistance against larvicides can in some circumstances prevent the evolution of resistance against the more effective, late-acting insecticide, leading to sustainable, effective control. We discuss several potential options to create such insecticides, focussing on biopesticides.

Indexed as

benefit of resistanceevolution-proof controlinsecticide resistancelate-acting insecticidemalaria control

Identifiers

PMID25567892
PMCPMC3352447
OpenAlexW2108811535

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.