The CANVeCT project is a five-year initiative aimed at generating evidence to support the adoption of spatial repellents as a novel tool to reduce malaria burden in Africa. This project is led by the Centre for Research in Infectious Diseases (CRID) in Cameroon and supported by the Liverpool School of Tropical Medicine (LSTM). CANVeCT will implement a cluster-randomized controlled trial (cRCT) in Cameroon to demonstrate the protective efficacy of spatial repellents (SRs) in combination with long-lasting insecticidal nets (LLINs) and as a standalone intervention. In parallel, a Household Trial (HHT) in humanitarian settings in Cameroon will establish operational parameters to identify optimal distribution mechanisms and address potential challenges.

OUR VISION

To contribute to the evolution of the WHO conditional recommendation of spatial repellents by generating strong evidence on their effectiveness as a tool to reduce malaria in Africa. The project aims to support the adoption of spatial repellents as a key component in the fight against malaria, particularly in the face of increasing insecticide resistance, urbanization, and climate change.

OUR MISSION

The CANVeCT project is dedicated to advancing malaria control in Cameroon and beyond, by rigorously evaluating the impact of Spatial Repellents (SRs) across diverse ecological and demographic settings. Through a comprehensive cluster-randomised controlled trial (cRCT), we aim to determine the standalone efficacy of SRs compared to Long-Lasting Insecticidal Nets (LLINs), as well as their combined protective value.

OUR OBJECTIVES

• To establish operational parameters for SR distribution through a Household Trial (HHT) in humanitarian settings.
• To assess how existing resistance mechanisms developed by mosquito populations can impact the efficacy of SRs.
• To generate data for cost-effectiveness estimates through the web-based MINT.
• To contribute towards WHO normative and country-level guidance to promote the introduction of SRs.
• To address supply chain challenges, including supply security and cost of delivery, and propose effective delivery approaches within existing health systems.
• To provide robust estimations on the cost-effectiveness of SRs in different contexts and in comparison, with ITNs and IRS.