The impact of pyrethroid resistance on the efficacy and effectiveness of bednets for malaria control in Africa

  1. Thomas S Churcher  Is a corresponding author
  2. Natalie Lissenden
  3. Jamie T Griffin
  4. Eve Worrall
  5. Hilary Ranson
  1. Imperial College London, United Kingdom
  2. Liverpool School of Tropical Medicine, United Kingdom

Abstract

Long lasting pyrethroid treated bednets are the most important tool for preventing malaria. Pyrethroid resistant Anopheline mosquitoes are now ubiquitous in Africa though the public health impact remains unclear, impeding the deployment of more expensive nets. Meta-analyses of bioassay studies and experimental hut trials are used to characterise how pyrethroid resistance changes the efficacy of standard bednets, and those containing the synergist piperonyl butoxide (PBO), and assess its impact on malaria control. New bednets provide substantial personal protection until high levels of resistance though protection may wane faster against more resistant mosquito populations as nets age. Transmission dynamics models indicate that even low levels of resistance would increase the incidence of malaria due to reduced mosquito mortality and lower overall community protection over the life-time of the net. Switching to PBO bednets could avert up to 0.5 clinical cases per person per year in some resistance scenarios.

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Article and author information

Author details

  1. Thomas S Churcher

    MRC Centre for Outbreak Analysis and Modelling, Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    For correspondence
    thomas.churcher@imperial.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8442-0525
  2. Natalie Lissenden

    Liverpool School of Tropical Medicine, Liverpool, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Jamie T Griffin

    MRC Centre for Outbreak Analysis and Modelling, Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Eve Worrall

    Liverpool School of Tropical Medicine, Liverpool, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  5. Hilary Ranson

    Liverpool School of Tropical Medicine, Liverpool, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.

Funding

Medical Research Council

  • Thomas S Churcher

Department for International Development

  • Thomas S Churcher

European Research Council

  • Hilary Ranson

Innovative Vector Control Consortium

  • Thomas S Churcher

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2016, Churcher et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Thomas S Churcher
  2. Natalie Lissenden
  3. Jamie T Griffin
  4. Eve Worrall
  5. Hilary Ranson
(2016)
The impact of pyrethroid resistance on the efficacy and effectiveness of bednets for malaria control in Africa
eLife 5:e16090.
https://doi.org/10.7554/eLife.16090

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https://doi.org/10.7554/eLife.16090

Further reading

  1. Modelling the effectiveness of bednets against mosquitoes and malaria.

    1. Epidemiology and Global Health
    Marina Padilha, Victor Nahuel Keller ... Gilberto Kac
    Research Article Updated

    Background:

    The role of circulating metabolites on child development is understudied. We investigated associations between children’s serum metabolome and early childhood development (ECD).

    Methods:

    Untargeted metabolomics was performed on serum samples of 5004 children aged 6–59 months, a subset of participants from the Brazilian National Survey on Child Nutrition (ENANI-2019). ECD was assessed using the Survey of Well-being of Young Children’s milestones questionnaire. The graded response model was used to estimate developmental age. Developmental quotient (DQ) was calculated as the developmental age divided by chronological age. Partial least square regression selected metabolites with a variable importance projection ≥1. The interaction between significant metabolites and the child’s age was tested.

    Results:

    Twenty-eight top-ranked metabolites were included in linear regression models adjusted for the child’s nutritional status, diet quality, and infant age. Cresol sulfate (β=–0.07; adjusted-p <0.001), hippuric acid (β=–0.06; adjusted-p <0.001), phenylacetylglutamine (β=–0.06; adjusted-p <0.001), and trimethylamine-N-oxide (β=–0.05; adjusted-p=0.002) showed inverse associations with DQ. We observed opposite directions in the association of DQ for creatinine (for children aged –1 SD: β=–0.05; pP=0.01;+1 SD: β=0.05; p=0.02) and methylhistidine (–1 SD: β = - 0.04; p=0.04;+1 SD: β=0.04; p=0.03).

    Conclusions:

    Serum biomarkers, including dietary and microbial-derived metabolites involved in the gut-brain axis, may potentially be used to track children at risk for developmental delays.

    Funding:

    Supported by the Brazilian Ministry of Health and the Brazilian National Research Council.