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Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data

Author

Listed:
  • Ellie Sherrard-Smith

    (Imperial College London)

  • Corine Ngufor

    (Centre de Recherches Entomologiques de Cotonou
    London School of Hygiene and Tropical Medicine)

  • Antoine Sanou

    (Centre National de Recherche et de Formation sur le Paludisme)

  • Moussa W. Guelbeogo

    (Centre National de Recherche et de Formation sur le Paludisme)

  • Raphael N’Guessan

    (London School of Hygiene and Tropical Medicine
    Institut Pierre Richet)

  • Eldo Elobolobo

    (Centro de Investigação em Saúde de Manhiça)

  • Francisco Saute

    (Centro de Investigação em Saúde de Manhiça)

  • Kenyssony Varela

    (Abt Associates)

  • Carlos J. Chaccour

    (ISGlobal)

  • Rose Zulliger

    (USAID)

  • Joseph Wagman

    (PATH)

  • Molly L. Robertson

    (PATH)

  • Mark Rowland

    (London School of Hygiene and Tropical Medicine)

  • Martin J. Donnelly

    (Liverpool School of Tropical Medicine)

  • Samuel Gonahasa

    (Infectious Diseases Research Collaboration)

  • Sarah G. Staedke

    (London School of Hygiene and Tropical Medicine)

  • Jan Kolaczinski

    (World Health Organization)

  • Thomas S. Churcher

    (Imperial College London)

Abstract

The cause of malaria transmission has been known for over a century but it is still unclear whether entomological measures are sufficiently reliable to inform policy decisions in human health. Decision-making on the effectiveness of new insecticide-treated nets (ITNs) and the indoor residual spraying of insecticide (IRS) have been based on epidemiological data, typically collected in cluster-randomised control trials. The number of these trials that can be conducted is limited. Here we use a systematic review to highlight that efficacy estimates of the same intervention may vary substantially between trials. Analyses indicate that mosquito data collected in experimental hut trials can be used to parameterize mechanistic models for Plasmodium falciparum malaria and reliably predict the epidemiological efficacy of quick-acting, neuro-acting ITNs and IRS. Results suggest that for certain types of ITNs and IRS using this framework instead of clinical endpoints could support policy and expedite the widespread use of novel technologies.

Suggested Citation

  • Ellie Sherrard-Smith & Corine Ngufor & Antoine Sanou & Moussa W. Guelbeogo & Raphael N’Guessan & Eldo Elobolobo & Francisco Saute & Kenyssony Varela & Carlos J. Chaccour & Rose Zulliger & Joseph Wagma, 2022. "Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30700-1
    DOI: 10.1038/s41467-022-30700-1
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    References listed on IDEAS

    as
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    Cited by:

    1. H. Juliette T. Unwin & Ellie Sherrard-Smith & Thomas S. Churcher & Azra C. Ghani, 2023. "Quantifying the direct and indirect protection provided by insecticide treated bed nets against malaria," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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