Insecticide resistance management in Burkina Faso and Côte d'Ivoire: research on vector control strategies

The fight against malaria faces now the challenge of the emergence and expansion of the resistance to both curative (drugs) and preventive (vector control) tools. Vector control which relies primarily on mass distribution of long lasting pyrethroid-treated nets contributes to the reduction of malaria transmission. The resistance of Anopheles vectors to pyrethroids, the only insecticide class recommended to treat bed nets, is threatening the considerable progresses made over the last decade. The REACT project aims to assess whether addition of complementary vector control strategies to long- lasting insecticidal mosquito nets provides additional protection against clinical malaria in areas with pyrethroid-resistant vectors in rural Burkina Faso and Ivory Coast. The tested strategies are 1) Indoor residual sprayings of insecticide; 2) intensive communication for human behavioural changes; 3) larviciding with natural toxins of Bacillus thurengiensis israelensis; 4) Use of Ivermectin both in human and cattle.
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31 to 40 of 70 Results
REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information
REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information
Dec 4, 2023
Moiroux, Nicolas; Pennetier, Cédric; Dabiré, Roch Kounbobr; Koffi, Alphonsine, 2023, "REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information", https://doi.org/10.23708/IX5Z7U, DataSuds, V1, UNF:6:4Jex0BKDfjiQ/Eb3dfaOuQ== [fileUNF]
This dataset lists the villages involved in the REACT project (Insecticide resistance management in Burkina Faso and Côte d'Ivoire: research on vector control strategies). Led by three scientific institutions – the Institut de Recherche pour le Développement (IRD, France), the In...
1_react_villages_data.tab
Dec 4, 2023 - REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information
Tabular Data - 6.3 KB - 12 Variables, 59 Observations - UNF:6:Cg6rBC+w61FCTDBC8ycAVw==
DataGeospatial
List of villages involved in the REACT project
2_react_villages_columns_metadata.tab
Dec 4, 2023 - REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information
Tabular Data - 1.4 KB - 3 Variables, 12 Observations - UNF:6:9o1WDX+uodS7iHkUABqnfQ==
Documentation
Data dictionary for the file 1_react_villages_data.csv
react_villages_contextual_map.jpg
react_villages_contextual_map.jpg
Dec 4, 2023 - REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information
JPEG Image - 318.6 KB - MD5: 9879a2228b32d41a6a268ea01fb66097
Documentation
Map of the villages involved in the REACT project
react_villages_readme.txt
Dec 4, 2023 - REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information
Plain Text - 2.2 KB - MD5: 45a6ec0e6bc433e6da730005eca77cbc
Documentation
Dataset citation and description
Identification et caractérisation des gîtes larvaires d'Anopheles spp. dans la région de Korhogo, nord Côte d'Ivoire, 2016-2017
Identification et caractérisation des gîtes larvaires d'Anopheles spp. dans la région de Korhogo, nord Côte d'Ivoire, 2016-2017
Nov 16, 2023
Zogo, Barnabas; A. Koffi, Alphonsine; P. Ahoua Alou, Ludovic; Koné, Aboubacar; Dosso, Youssouf; Coulibaly, Issa; Fournet, Florence; Dahounto, Amal; Kounbobr Dabiré, Roch; Baba-Moussa, Lamine; Moiroux, Nicolas; Pennetier, Cédric, 2020, "Identification et caractérisation des gîtes larvaires d'Anopheles spp. dans la région de Korhogo, nord Côte d'Ivoire, 2016-2017", https://doi.org/10.23708/5ODIWK, DataSuds, V2, UNF:6:l5nh3L/cArncQIiu+E3Tig== [fileUNF]
Données d’identification et de caractérisation des gîtes larvaires d’Anopheles spp. dans la région de Korhogo (nord Côte d'Ivoire) avant le déploiement de stratégies de lutte anti-vectorielle complémentaires à la moustiquaire imprégnée d'insecticide, dans le cadre du projet REACT...
Taconet_2023_input_data_dictionary.pdf
Taconet_2023_input_data_dictionary.pdf
Aug 4, 2023 - Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability
Adobe PDF - 32.6 KB - MD5: 71a610ee7b81a01506a4bcc432e867a2
Documentation
Data dictionary (i.e. labels of the columns of the input data)
Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability
Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability
Jun 8, 2023
Taconet, Paul; Soma, Diloma Dieudonné; Zogo, Barnabas; Mouline, Karine; Simard, Frédéric; Koffi Amanan, Alphonsine; Dabiré, Roch Kounbobr; Pennetier, Cédric; Moiroux, Nicolas, 2023, "Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", https://doi.org/10.23708/VJEEMU, DataSuds, V2, UNF:6:/NwlGlNxXljdkOBTx0CO6Q== [fileUNF]
This archive is the supplementary material accompanying the manuscript "Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability" by Paul Taconet, Die...
Taconet_2023_supplementary_file_4.tab
Jun 8, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability
Tabular Data - 14.4 KB - 7 Variables, 114 Observations - UNF:6:/NwlGlNxXljdkOBTx0CO6Q==
Data
Results of the GLMM (coefficients / odd ratios, confidence intervals, p-values)
1_Taconet_2023_ReadMe.txt
May 26, 2023 - Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability
Plain Text - 2.3 KB - MD5: 7f5d311bde3bda65cc9e4d0965bac86e
Documentation
Dataset citation and description
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