Last Updated: 06/11/2024
Optimising strategic combinations of malaria interventions in western Kenya through a mechanistic model
Objectives
This study aims to enhance malaria intervention strategies in western Kenya through mechanistic modeling, targeting the region’s ongoing malaria challenges despite previous control efforts. By examining three decades of epidemiological and entomological data, the research seeks to adapt interventions to the area’s specific conditions and offer evidence-based guidance to the Kenya Division of National Malaria Program, involving essential stakeholders throughout the process.
Liverpool School of Tropical Medicine (LSTM), United Kingdom
This research aims to utilise mechanistic models for effective malaria intervention implementation in western Kenya, where malaria burden remains persistently high despite increased control efforts over the past two decades. Malaria transmission and disease risk are heterogeneous in this area, varying markedly within small geographic areas, highlighting the need to tailor strategies based on epidemiological context and spatial dimensions. A multifaceted approach will be applied, including a comprehensive analysis of existing epidemiological and entomological dataset from studies conducted in Siaya, western Kenya over the past 30 years. In close collaboration with modelling experts, these data will be used to calibrate and parameterise a mechanistic model developed by Imperial College London. Subsequently, the model will be used to simulate the impact of various malaria control intervention. This study will also explore deployment of combinations of malaria control interventions in western Kenya, considering different scenarios and resource allocation strategies. This Kenyan-led research team is uniquely positioned to provide evidence-based recommendations to the Kenya Division of National Malaria Program, guiding malaria control strategies in western Kenya. Throughout the project key stakeholders in Kenya will be engaged to refine the research questions and intervention combinations, and to foster investment in the research and outcomes.
Jun 2024 — Jun 2029
$680,485
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