Abstract
The growing complexity of GeoSentinel surveillance data creates opportunities for novel data science-based outbreak detection methods. Challenges may be overcome by effective multidisciplinary collaboration. The early signals generated by outbreak detection methods using GeoSentinel data may influence policymaking, shape public health responses, and contribute to global disease control strategies.
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