Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring
Researchers have developed a new Bayesian method called Bayesian Selective Latent Inference (BSLI) to improve influenza monitoring using wastewater data. This method addresses the challenge that wastewater data alone is not a complete proxy for human illness burden. BSLI optimizes decisions on when to rely solely on wastewater, when to incorporate other data streams, and when to abstain from reporting due to ambiguity, thereby enhancing forecasting accuracy and conservative abstention. AI
IMPACT This new method could lead to more accurate and timely public health predictions for infectious diseases.