Last Updated: 22/12/2025
Assessing the effectiveness of two interventions (digital allocation and wash demonstration) compared to the current model in enhancing LLIN utilization in malaria-endemic states: A multicentric cluster randomized controlled trial
Objectives
- To evaluate the impact of the LLIN digital allocation model on LLIN accessibility and utilization within high-risk malaria populations.
- To assess the impact of distribution with one wash demonstration with education in LLIN efficacy and utilization.
The impact of Long-Lasting Insecticidal Nets (LLINs) in malaria control is significant, but full accessibility and optimal utilization remain challenging. Issues includeaccessibility, distribution strategies, and LLIN efficacy. Tailored interventions are proposed to enhance effectiveness. This study addresses gaps in LLIN implementationby focusing on universal access and utilization rates. Using a digital allocation model, it aims to bridge knowledge gaps on LLIN coverage and factors influencing accessibility and utilization.
Novelty: This study presents an innovative approach to optimizing the utilization of Long-Lasting Insecticidal Nets (LLINs) for malariacontrol, aiming to bridge existing gaps in distribution, accessibility, and efficacy. The proposed digital allocation interventions have the potential to introduce a novelstrategy for enhancing the effectiveness of LLINs in combating malaria.
Expected outcome: The study will guide to understand the gap in LLIN accessibility and usage and variability in aligning with the World Health Organization’s (WHO) LLIN universal coverage goal. The research’s impact is substantial, providing evidence-based scalable, technology-driven, and community-specific interventions, contributing to optimize the universal coverage in risk population.
The methodology involves a multi-centric equipoised cluster randomized controlled trial with a multi-arm intervention, including LLINdigital allocation, wash demonstration with education and current distribution model .
Sep 2025 — Aug 2028
$282,339
