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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Jul 6, 2026
Moiroux, Nicolas; Taconet, Paul; Zogo, Barnabas; Tchiekoi, Bertin N'cho; Pennetier, Cedric, 2026, "Protocol, Replication Data and Codes for: Effectiveness of a dry season larviciding strategy to complement universal coverage with long-lasting insecticidal nets against malaria.", https://doi.org/10.23708/PKVLDK, DataSuds, V1
This repository contains the protocol, the data and analyses scripts for a Randomized Controlled Trial evaluating Bti-based larviciding in combination to Long-Lasting Insecticidal Nets (LLIN) in Côte d'Ivoire (CI). A detailed description of the dataset organization and content is...
Gzip Archive - 181.1 KB - MD5: 0f003051fb39a1e98187f2a4019d04bc
Data
Data for epidemiological outcomes analysis
MS Word - 30.7 KB - MD5: 4e5aad39bb47f6be73212e6a8b723d85
Documentation
Data use agreement form. The form must be downloaded, completed and returned to the authors of the dataset and data@ird.fr before access to the data files is granted.
R Notebook - 27.2 KB - MD5: d5a33c7ba004079fb72f29891fc6663b
Documentation
R Markdown file of metadata and dataset descriptions (data dictionnary)
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