Virginia Tech researchers seek to understand the environmental factors that influence the distribution of hantavirus in rodent populations across the United States.

Can public health experts make a forecast for the flu or another infectious disease as accurately as a computational model? 

Thomas McAndrew, assistant professor, Department of Biostatistics and Health Data Science in Lehigh University’s College of Health, has received an award from the National Science Foundation (NSF) to research and develop a novel approach to forecasting. His project, “IHBEM: Enhancing Influenza Forecasting Through an Integrated Platform for User-Generated Temporal Forecasts,” will help improve evidence-based public health decision making for infectious diseases.

Scientists from Sichuan University have developed a new platform that combines large language models and quantum computing to predict Salmonella antimicrobial resistance. Their research, published in Engineering, aims to address the inefficiencies of traditional prediction methods and the challenges posed by high-dimensional data and sample imbalance.