Genomic surveillance detects malaria origins and transmission in travellers, suggesting improved public health strategies.
This study highlights the power of real-time WGS and AI-enhanced tools for high-resolution malaria genomic surveillance. By enabling rapid characterisation of cryptic and imported cases, this approach supports timely public health responses, including targeted epidemiological investigations and, where appropriate, the de-escalation of entomological surveillance. In doing so, it helps sustain malaria elimination in non-endemic settings.
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Tan et al. (2026) studied this question.
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