Article

A Machine Learning-based Dynamic SST Index for Long-lead Malaria Prediction in the Peruvian Amazon

2025-06-13

Abstract excerpt

Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alter malaria transmission and potentially improve its long-lead predictability. In this study, we propose a machine learning-based methodology to identify long-lead pred...

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Literature Corpus work: 75bc0ae8-1f13-51df-8b6d-d9577f021645
DOI: 10.22541/au.174983605.55871123/v1

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