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Last Updated: 20/12/2024

Genetic reconnaissance to support malaria elimination in the GMS (GenRe-Mekong)

Objectives

*Alternative title: Genetic Reconnaissance of Malaria in the Greater Mekong Subregion (GenRe-Mekong)

This project is a genetic surveillance project, aiming to provide National Malaria Control Programmes (NMCPs) in the Greater Mekong Subregion and other public health stakeholders with timely and actionable knowledge to support their decision-making in activities relevant to malaria elimination efforts.

Specific objectives: 

  • To establish genetic tools and regional capacity to map the geography and severity of artemisinin-resistant Plasmodium falciparum in the GMS
  • To translate data outputs into real-time actionable knowledge for elimination by working with GMS stakeholders
  • To adapt genetic epi malaria elimination use cases for the GMS
  • To provide health authorities with relevant, timely genetic epi knowledge
Rationale and Abstract

In the Greater Mekong Subregion (GMS, comprising Cambodia, Vietnam, Laos, Thailand, Myanmar and parts of China), National Malaria Control Programs (NMCPs) are called upon to take difficult policy decisions in the face of a rapidly changing epidemiological landscape. These decisions include: assessing treatment efficacy, reviewing frontline drug policies, assessing the effectiveness of targeted interventions, identifying transmission hubs to target, and monitoring imported cases. To support their decision-making, NMCPs make use of clinical and epidemiological data, as well as results of therapeutic efficacy studies. GenRe-Mekong adds to this evidence base by providing comprehensive genetic information about the parasite populations.

GenRe-Mekong analyzes small dried blood spots samples, collected using a simple standardised operating procedure that is easy to implement at public health sites, even in resource-constrained endemic regions. Samples are processed by the SpotMalaria genotyping platform, which leverages on leading-edge high-throughput technologies to extract large amounts of parasite genetic information from each sample. The results are captured in Genetic Report Cards (GRCs), datasets regularly delivered to NMCPs to keep them abreast of rapid epidemiological changes. The underlying technological platform is designed to keep sample processing costs low, enabling large-scale genetic epidemiology survey with dense geographical coverage and large sample sizes.

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