Evidence map›Paper›PMID 32447420›Full record

ArticleJournal of mathematical biology2020

Long-lasting insecticidal nets and the quest for malaria eradication: a mathematical modeling approach.

Iboi Enahoro, Steffen Eikenberry, Abba B Gumel, Silvie Huijben, Krijn Paaijmans

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Mathematical assessment of the role of intervention programs for malaria control.medRxiv : the preprint server for health sciences · 2023
    Article
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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

5 authors at 1 institution in 2 countries.

Iboi EnahoroSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA.
Steffen EikenberrySchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA.
Abba B GumelSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA. agumel@asu.edu.ORCID 0000-0002-8413-1248
Silvie HuijbenCenter for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, USA.
Krijn PaaijmansCenter for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, USA.
Arizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent dramatic declines in global malaria burden and mortality can be largely attributed to the large-scale deployment of insecticidal-based measures, namely long-lasting insecticidal nets (LLINs) and indoor residual spraying. However, the sustainability of these gains, and the feasibility of global malaria eradication by 2040, may be affected by increasing insecticide resistance among the Anopheles malaria vector. We employ a new differential-equations based mathematical model, which incorporates the full, weather-dependent mosquito lifecycle, to assess the population-level impact of the large-scale use of LLINs, under different levels of Anopheles pyrethroid insecticide resistance, on malaria transmission dynamics and control in a community. Moreover, we describe the bednet-mosquito interaction using parameters that can be estimated from the large experimental hut trial literature under varying levels of effective pyrethroid resistance. An expression for the basic reproduction number, [Formula: see text], as a function of population-level bednet coverage, is derived. It is shown, owing to the phenomenon of backward bifurcation, that [Formula: see text] must be pushed appreciably below 1 to eliminate malaria in endemic areas, potentially complicating eradication efforts. Numerical simulations of the model suggest that, when the baseline [Formula: see text] is high (corresponding roughly to holoendemic malaria), very high bednet coverage with highly effective nets is necessary to approach conditions for malaria elimination. Further, while >50% bednet coverage is likely sufficient to strongly control or eliminate malaria from areas with a mesoendemic malaria baseline, pyrethroid resistance could undermine control and elimination efforts even in this setting. Our simulations show that pyrethroid resistance in mosquitoes appreciably reduces bednet effectiveness across parameter space. This modeling study also suggests that increasing pre-bloodmeal deterrence of mosquitoes (deterring them from entry into protected homes) actually hampers elimination efforts, as it may focus mosquito biting onto a smaller unprotected host subpopulation. Finally, we observe that temperature affects malaria potential independently of bednet coverage and pyrethroid-resistance levels, with both climate change and pyrethroid resistance posing future threats to malaria control.

Indexed as

Disease EradicationInsecticide-Treated BednetsMalariaModels, TheoreticalPyrethrinsAnimalsAnophelesInsecticide ResistanceInsecticidesMosquito ControlMosquito VectorsInsecticidesPyrethrinsBasic reproduction numberLLINsPyrethroidTemperature effects

Identifiers

PMID32447420
OpenAlexW3027137869

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.