Syndromic surveillance systems—designed to detect outbreaks through real-time health data—have become critical tools for epidemic forecasting. As climate extremes increasingly drive disease patterns, there is a growing need to integrate syndromic data streams into broader climate early warning systems. This question invites interdisciplinary input on data integration strategies, governance models, and technological frameworks that can align environmental, epidemiological, and behavioral signals. Key considerations include data privacy, interoperability with health and climate models, cross-sector coordination, and the development of anticipatory public health triggers.
Secretariat Asked question July 30, 2025