Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017

  1. Samir Bhatt  Is a corresponding author
  2. Daniel J Weiss
  3. Bonnie Mappin
  4. Ursula Dalrymple
  5. Ewan Cameron
  6. Donal Bisanzio
  7. David L Smith
  8. Catherine L Moyes
  9. Andrew J Tatem
  10. Michael Lynch
  11. Cristin A Fergus
  12. Joshua Yukich
  13. Adam Bennett
  14. Thomas P Eisele
  15. Jan Kolaczinski
  16. Richard E Cibulskis
  17. Simon I Hay
  18. Peter W Gething
  1. University of Oxford, United Kingdom
  2. National Institutes of Health, United States
  3. World Health Organization, Switzerland
  4. Tulane University School of Public Health and Tropical Medicine, United States
  5. University of California, San Francisco, United States
  6. The Global Fund to Fight AIDS, Tuberculosis and Malaria, Switzerland

Abstract

Insecticide-treated nets (ITNs) for malaria control are widespread but coverage remains inadequate. We developed a Bayesian model using data from 102 national surveys, triangulated against delivery data and distribution reports, to generate year-by-year estimates of four ITN coverage indicators. We explored the impact of two potential 'inefficiencies': uneven net distribution among households and rapid rates of net loss from households. We estimated that, in 2013, 21% (17%-26%) of ITNs were over-allocated and this has worsened over time as overall net provision has increased. We estimated that rates of ITN loss from households are more rapid than previously thought, with 50% lost after 23 (20-28) months. We predict that the current estimate of 920 million additional ITNs required to achieve universal coverage would in reality yield a lower level of coverage (77% population access). By improving efficiency, however, the 920 million ITNs could yield population access as high as 95%.

Article and author information

Author details

  1. Samir Bhatt

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    For correspondence
    bhattsamir@gmail.com
    Competing interests
    No competing interests declared.
  2. Daniel J Weiss

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  3. Bonnie Mappin

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  4. Ursula Dalrymple

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  5. Ewan Cameron

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  6. Donal Bisanzio

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  7. David L Smith

    Fogarty International Center, National Institutes of Health, Bethesda, United States
    Competing interests
    No competing interests declared.
  8. Catherine L Moyes

    Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  9. Andrew J Tatem

    Fogarty International Center, National Institutes of Health, Bethesda, United States
    Competing interests
    No competing interests declared.
  10. Michael Lynch

    Global Malaria Programme, World Health Organization, Geneva, Switzerland
    Competing interests
    No competing interests declared.
  11. Cristin A Fergus

    Global Malaria Programme, World Health Organization, Geneva, Switzerland
    Competing interests
    No competing interests declared.
  12. Joshua Yukich

    Center for Applied Malaria Research and Evaluation, Department of Global Health Systems and Development, Tulane University School of Public Health and Tropical Medicine, New Orleans, United States
    Competing interests
    No competing interests declared.
  13. Adam Bennett

    Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, San Francisco, United States
    Competing interests
    No competing interests declared.
  14. Thomas P Eisele

    Center for Applied Malaria Research and Evaluation, Department of Global Health Systems and Development, Tulane University School of Public Health and Tropical Medicine, New Orleans, United States
    Competing interests
    No competing interests declared.
  15. Jan Kolaczinski

    Strategy, Investment and Impact Division, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland
    Competing interests
    No competing interests declared.
  16. Richard E Cibulskis

    Global Malaria Programme, World Health Organization, Geneva, Switzerland
    Competing interests
    No competing interests declared.
  17. Simon I Hay

    Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
    Competing interests
    Simon I Hay, Reviewing editor, eLife.
  18. Peter W Gething

    Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    No competing interests declared.

Reviewing Editor

  1. Catherine Kyobutungi, Africa Population Health Research Center, Kenya

Version history

  1. Received: June 25, 2015
  2. Accepted: November 26, 2015
  3. Accepted Manuscript published: December 29, 2015 (version 1)
  4. Version of Record published: February 8, 2016 (version 2)

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Metrics

  • 3,204
    views
  • 670
    downloads
  • 128
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Samir Bhatt
  2. Daniel J Weiss
  3. Bonnie Mappin
  4. Ursula Dalrymple
  5. Ewan Cameron
  6. Donal Bisanzio
  7. David L Smith
  8. Catherine L Moyes
  9. Andrew J Tatem
  10. Michael Lynch
  11. Cristin A Fergus
  12. Joshua Yukich
  13. Adam Bennett
  14. Thomas P Eisele
  15. Jan Kolaczinski
  16. Richard E Cibulskis
  17. Simon I Hay
  18. Peter W Gething
(2015)
Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017
eLife 4:e09672.
https://doi.org/10.7554/eLife.09672

Share this article

https://doi.org/10.7554/eLife.09672

Further reading

    1. Epidemiology and Global Health
    Sean V Connelly, Nicholas F Brazeau ... Jeffrey A Bailey
    Research Article

    Background:

    The Zanzibar archipelago of Tanzania has become a low-transmission area for Plasmodium falciparum. Despite being considered an area of pre-elimination for years, achieving elimination has been difficult, likely due to a combination of imported infections from mainland Tanzania and continued local transmission.

    Methods:

    To shed light on these sources of transmission, we applied highly multiplexed genotyping utilizing molecular inversion probes to characterize the genetic relatedness of 282 P. falciparum isolates collected across Zanzibar and in Bagamoyo district on the coastal mainland from 2016 to 2018.

    Results:

    Overall, parasite populations on the coastal mainland and Zanzibar archipelago remain highly related. However, parasite isolates from Zanzibar exhibit population microstructure due to the rapid decay of parasite relatedness over very short distances. This, along with highly related pairs within shehias, suggests ongoing low-level local transmission. We also identified highly related parasites across shehias that reflect human mobility on the main island of Unguja and identified a cluster of highly related parasites, suggestive of an outbreak, in the Micheweni district on Pemba island. Parasites in asymptomatic infections demonstrated higher complexity of infection than those in symptomatic infections, but have similar core genomes.

    Conclusions:

    Our data support importation as a main source of genetic diversity and contribution to the parasite population in Zanzibar, but they also show local outbreak clusters where targeted interventions are essential to block local transmission. These results highlight the need for preventive measures against imported malaria and enhanced control measures in areas that remain receptive to malaria reemergence due to susceptible hosts and competent vectors.

    Funding:

    This research was funded by the National Institutes of Health, grants R01AI121558, R01AI137395, R01AI155730, F30AI143172, and K24AI134990. Funding was also contributed from the Swedish Research Council, Erling-Persson Family Foundation, and the Yang Fund. RV acknowledges funding from the MRC Centre for Global Infectious Disease Analysis (reference MR/R015600/1), jointly funded by the UK Medical Research Council (MRC) and the UK Foreign, Commonwealth & Development Office (FCDO), under the MRC/FCDO Concordat agreement and is also part of the EDCTP2 program supported by the European Union. RV also acknowledges funding by Community Jameel.

    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease
    Patrick E Brown, Sze Hang Fu ... Ab-C Study Collaborators
    Research Article

    Background: Few national-level studies have evaluated the impact of 'hybrid' immunity (vaccination coupled with recovery from infection) from the Omicron variants of SARS-CoV-2.

    Methods: From May 2020 to December 2022, we conducted serial assessments (each of ~4000-9000 adults) examining SARS-CoV-2 antibodies within a mostly representative Canadian cohort drawn from a national online polling platform. Adults, most of whom were vaccinated, reported viral test-confirmed infections and mailed self-collected dried blood spots to a central lab. Samples underwent highly sensitive and specific antibody assays to spike and nucleocapsid protein antigens, the latter triggered only by infection. We estimated cumulative SARS-CoV-2 incidence prior to the Omicron period and during the BA.1/1.1 and BA.2/5 waves. We assessed changes in antibody levels and in age-specific active immunity levels.

    Results: Spike levels were higher in infected than in uninfected adults, regardless of vaccination doses. Among adults vaccinated at least thrice and infected more than six months earlier, spike levels fell notably and continuously for the nine months post-vaccination. By contrast, among adults infected within six months, spike levels declined gradually. Declines were similar by sex, age group, and ethnicity. Recent vaccination attenuated declines in spike levels from older infections. In a convenience sample, spike antibody and cellular responses were correlated. Near the end of 2022, about 35% of adults above age 60 had their last vaccine dose more than six months ago, and about 25% remained uninfected. The cumulative incidence of SARS-CoV-2 infection rose from 13% (95% CI 11-14%) before omicron to 78% (76-80%) by December 2022, equating to 25 million infected adults cumulatively. However, the COVID-19 weekly death rate during the BA.2/5 waves was less than half of that during the BA.1/1.1 wave, implying a protective role for hybrid immunity.

    Conclusions: Strategies to maintain population-level hybrid immunity require up-to-date vaccination coverage, including among those recovering from infection. Population-based, self-collected dried blood spots are a practicable biological surveillance platform.

    Funding: Funding was provided by the COVID-19 Immunity Task Force, Canadian Institutes of Health Research, Pfizer Global Medical Grants, and St. Michael's Hospital Foundation. PJ and ACG are funded by the Canada Research Chairs Program.