When is travel-health AI inference transportable? Mobility-conditioned admissibility for cross-border disease risk and decision support

Background

Artificial intelligence is increasingly used for infectious disease surveillance, traveller risk assessment, outbreak forecasting and decision support. Travel creates a distinctive transportability problem because people move between epidemiological, geographic, climatic and healthcare contexts in which the conditions supporting an inference may change rapidly.