4 papers
EpiFlow: A framework for improving the utility of wastewater signals for disease forecasting
Aniruddha Adiga, Jingyuan Chou, Gursharn Kaur +8
Wastewater-based surveillance is an effective tool for disease monitoring and can provide early warning of outbreaks. Although wastewater viral loads (WVL) correlate with disease b…
Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting
Alireza Jafari, Judy Fox, Geoffrey C. Fox +2
Seasonal influenza infects millions of people and causes substantial morbidity and mortality in the United States each year, making accurate short-term forecasting a core public-he…
IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
Aniruddha Adiga, Jingyuan Chou, Anshul Chiranth +7
Epidemic forecasting has become an integral part of real-time infectious disease outbreak response. While collaborative ensembles composed of statistical and machine learning model…
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga +6
Accurate canal network mapping is essential for water management, including irrigation planning and infrastructure maintenance. State-of-the-art semantic segmentation models for in…