Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors

Experimental hut trials (EHTs) are used to evaluate indoor vector control interventions against malaria vectors in a controlled setting. The level of variability present in the assay will influence whether a given study is well powered to answer the research question being considered. We utilised di...

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Main Authors: Joseph D. Challenger, Rebecca K. Nash, Corine Ngufor, Antoine Sanou, K. Hyacinthe Toé, Sarah Moore, Patrick K. Tungu, Mark Rowland, Geraldine M. Foster, Raphael N’Guessan, Ellie Sherrard-Smith, Thomas S. Churcher
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Current Research in Parasitology and Vector-Borne Diseases
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Online Access:http://www.sciencedirect.com/science/article/pii/S2667114X23000031
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author Joseph D. Challenger
Rebecca K. Nash
Corine Ngufor
Antoine Sanou
K. Hyacinthe Toé
Sarah Moore
Patrick K. Tungu
Mark Rowland
Geraldine M. Foster
Raphael N’Guessan
Ellie Sherrard-Smith
Thomas S. Churcher
author_facet Joseph D. Challenger
Rebecca K. Nash
Corine Ngufor
Antoine Sanou
K. Hyacinthe Toé
Sarah Moore
Patrick K. Tungu
Mark Rowland
Geraldine M. Foster
Raphael N’Guessan
Ellie Sherrard-Smith
Thomas S. Churcher
author_sort Joseph D. Challenger
collection DOAJ
description Experimental hut trials (EHTs) are used to evaluate indoor vector control interventions against malaria vectors in a controlled setting. The level of variability present in the assay will influence whether a given study is well powered to answer the research question being considered. We utilised disaggregated data from 15 previous EHTs to gain insight into the behaviour typically observed. Using simulations from generalised linear mixed models to obtain power estimates for EHTs, we show how factors such as the number of mosquitoes entering the huts each night and the magnitude of included random effects can influence study power. A wide variation in behaviour is observed in both the mean number of mosquitoes collected per hut per night (ranging from 1.6 to 32.5) and overdispersion in mosquito mortality. This variability in mortality is substantially greater than would be expected by chance and should be included in all statistical analyses to prevent false precision of results. We utilise both superiority and non-inferiority trials to illustrate our methodology, using mosquito mortality as the outcome of interest. The framework allows the measurement error of the assay to be reliably assessed and enables the identification of outlier results which could warrant further investigation. EHTs are increasingly playing an important role in the evaluation and regulation of indoor vector control interventions so it is important to ensure that these studies are adequately powered.
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spelling doaj.art-9ff18521794b45e782e4ccf242ae48102023-06-24T05:19:55ZengElsevierCurrent Research in Parasitology and Vector-Borne Diseases2667-114X2023-01-013100115Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectorsJoseph D. Challenger0Rebecca K. Nash1Corine Ngufor2Antoine Sanou3K. Hyacinthe Toé4Sarah Moore5Patrick K. Tungu6Mark Rowland7Geraldine M. Foster8Raphael N’Guessan9Ellie Sherrard-Smith10Thomas S. Churcher11Medical Research Council Centre for Global Infections Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK; Corresponding author.Medical Research Council Centre for Global Infections Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UKCentre de Recherches Entomologiques de Cotonou, Cotonou, Benin; London School of Hygiene and Tropical Medicine, London, UKCentre National de Recherche et de Formation sur le Paludisme, Burkina FasoCentre National de Recherche et de Formation sur le Paludisme, Burkina FasoVector Control Product Testing Unit (VCPTU) Ifakara Health Institute, Environmental Health, and Ecological Sciences, Bagamoyo, Tanzania; Vector Biology Unit, Department of Epidemiology and Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland; Faculty of Science, University of Basel, Basel, Switzerland; The Nelson Mandela African Institution of Science and Technology (NM-AIST), Tengeru, Arusha, TanzaniaNational Institute for Medical Research, Amani Medical Research Centre, Muheza, TanzaniaLondon School of Hygiene and Tropical Medicine, London, UKVector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UKLondon School of Hygiene and Tropical Medicine, London, UK; Institut Pierre Richet, Bouaké, Republic of Côte d’IvoireMedical Research Council Centre for Global Infections Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UKMedical Research Council Centre for Global Infections Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UKExperimental hut trials (EHTs) are used to evaluate indoor vector control interventions against malaria vectors in a controlled setting. The level of variability present in the assay will influence whether a given study is well powered to answer the research question being considered. We utilised disaggregated data from 15 previous EHTs to gain insight into the behaviour typically observed. Using simulations from generalised linear mixed models to obtain power estimates for EHTs, we show how factors such as the number of mosquitoes entering the huts each night and the magnitude of included random effects can influence study power. A wide variation in behaviour is observed in both the mean number of mosquitoes collected per hut per night (ranging from 1.6 to 32.5) and overdispersion in mosquito mortality. This variability in mortality is substantially greater than would be expected by chance and should be included in all statistical analyses to prevent false precision of results. We utilise both superiority and non-inferiority trials to illustrate our methodology, using mosquito mortality as the outcome of interest. The framework allows the measurement error of the assay to be reliably assessed and enables the identification of outlier results which could warrant further investigation. EHTs are increasingly playing an important role in the evaluation and regulation of indoor vector control interventions so it is important to ensure that these studies are adequately powered.http://www.sciencedirect.com/science/article/pii/S2667114X23000031Experimental hut trialsInsecticide-treated netsLong-lasting insecticidal netsVector controlAnophelesPower analysis
spellingShingle Joseph D. Challenger
Rebecca K. Nash
Corine Ngufor
Antoine Sanou
K. Hyacinthe Toé
Sarah Moore
Patrick K. Tungu
Mark Rowland
Geraldine M. Foster
Raphael N’Guessan
Ellie Sherrard-Smith
Thomas S. Churcher
Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors
Current Research in Parasitology and Vector-Borne Diseases
Experimental hut trials
Insecticide-treated nets
Long-lasting insecticidal nets
Vector control
Anopheles
Power analysis
title Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors
title_full Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors
title_fullStr Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors
title_full_unstemmed Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors
title_short Assessing the variability in experimental hut trials evaluating insecticide-treated nets against malaria vectors
title_sort assessing the variability in experimental hut trials evaluating insecticide treated nets against malaria vectors
topic Experimental hut trials
Insecticide-treated nets
Long-lasting insecticidal nets
Vector control
Anopheles
Power analysis
url http://www.sciencedirect.com/science/article/pii/S2667114X23000031
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