Characterising the intensity of insecticide resistance: A novel framework for analysis of intensity bioassay data.

Kont, Mara D; Lambert, Ben; Sanou, Antoine; Williams, Jessica; Ranson, Hilary; Foster, Geraldine M; Lees, Rosemary S; Churcher, Thomas S

Kont, Mara D; Lambert, Ben; Sanou, Antoine; Williams, Jessica; Ranson, Hilary; Foster, Geraldine M; Lees, Rosemary S; Churcher, Thomas S.

Afiliación

Kont MD; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK.
Lambert B; Department of Mathematics and Statistics, University of Exeter, Exeter, EX4 4QJ, UK.
Sanou A; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.
Williams J; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
Ranson H; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
Foster GM; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
Lees RS; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
Churcher TS; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK.

Curr Res Parasitol Vector Borne Dis ; 4: 100125, 2023.

Article en En | MEDLINE | ID: mdl-37456558

Palabras clave

Bayesian dose-response modelling; Insecticide resistance; Phenotypic resistance monitoring; Temporal analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Curr Res Parasitol Vector Borne Dis Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

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