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

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 Wagman; Molly L. Robertson; Mark Rowland; Martin Donnelly; Samuel Gonahasa; Sarah Staedke; Jan Kolaczinski; Thomas S. Churcher

doi:10.1038/s41467-022-30700-1

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

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 Wagman
, Molly L. Robertson
, Mark Rowland
, Martin Donnelly
, Samuel Gonahasa
, Sarah Staedke
, Jan Kolaczinski
, Thomas S. Churcher

Vector Biology

Imperial College London
Centre de Recherches Entomologiques de Cotonou (CREC)
London School of Hygiene and Tropical Medicine
Centre national de recherche et de formation sur le paludisme
Institut de recherche pour le développement Abidjan
Centro de investigação de Saúde de Manhiça
Abt Global
Universitat de Barcelona
United States Agency for International Development
PATH
Infectious Diseases Research Collaboration
World Health Organization

Research output: Contribution to journal › Article › peer-review

31 Citations (Scopus)

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.

Original language	English
Article number	3862
Pages (from-to)	e3862
Journal	Nature Communications
Volume	13
Issue number	1
DOIs	https://doi.org/10.1038/s41467-022-30700-1
Publication status	Published - 5 Jul 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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41467 2022 Article 30700Final published version, 912 KBLicence: CC BY

Cite this

Sherrard-Smith, E., Ngufor, C., Sanou, A., Guelbeogo, M. W., N’Guessan, R., Elobolobo, E., Saute, F., Varela, K., Chaccour, C. J., Zulliger, R., Wagman, J., Robertson, M. L., Rowland, M., Donnelly, M., Gonahasa, S., Staedke, S., Kolaczinski, J., & Churcher, T. S. (2022). Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data. Nature Communications, 13(1), e3862. Article 3862. https://doi.org/10.1038/s41467-022-30700-1

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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.",

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Sherrard-Smith, E , Ngufor, C, Sanou, A, Guelbeogo, MW, N’Guessan, R, Elobolobo, E, Saute, F, Varela, K, Chaccour, CJ, Zulliger, R, Wagman, J, Robertson, ML, Rowland, M, Donnelly, M , Gonahasa, S , Staedke, S, Kolaczinski, J & Churcher, TS 2022, 'Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data', Nature Communications, vol. 13, no. 1, 3862, pp. e3862. https://doi.org/10.1038/s41467-022-30700-1

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T1 - Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data

AU - Sherrard-Smith, Ellie

AU - Ngufor, Corine

AU - Sanou, Antoine

AU - Guelbeogo, Moussa W.

AU - N’Guessan, Raphael

AU - Elobolobo, Eldo

AU - Saute, Francisco

AU - Varela, Kenyssony

AU - Chaccour, Carlos J.

AU - Zulliger, Rose

AU - Wagman, Joseph

AU - Robertson, Molly L.

AU - Rowland, Mark

AU - Donnelly, Martin

AU - Gonahasa, Samuel

AU - Staedke, Sarah

AU - Kolaczinski, Jan

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

Abstract

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