#disease-monitoring News & Analysis

Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring

Researchers propose Bayesian Selective Latent Inference (BSLI), a machine learning method that uses wastewater surveillance data to monitor influenza spread in communities before clinical cases are reported. The system intelligently decides whether additional data sources are needed or if abstention is appropriate, improving disease monitoring accuracy while managing data acquisition costs.