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

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

27 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

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

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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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title = "Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data",

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.",

author = "Ellie Sherrard-Smith and Corine Ngufor and Antoine Sanou and Guelbeogo, \{Moussa W.\} and Raphael N{\textquoteright}Guessan and Eldo Elobolobo and Francisco Saute and Kenyssony Varela and Chaccour, \{Carlos J.\} and Rose Zulliger and Joseph Wagman and Robertson, \{Molly L.\} and Mark Rowland and Martin Donnelly and Samuel Gonahasa and Sarah Staedke and Jan Kolaczinski and Churcher, \{Thomas S.\}",

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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

AU - Churcher, Thomas S.

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AB - 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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DO - 10.1038/s41467-022-30700-1

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SP - e3862

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 3862

ER -

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

Abstract

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