14 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…
Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations
Amro Alabsi Aljundi, Galen Harrison, Jiangzhuo Chen +3
Characterizing the scenario underlying an epidemic from its disease cascade is an important task in simulation analytics. We propose boundary degree, the count of an infected node'…
Robust Network Flow Interdiction Problems with Applications to Counter-Narcotics
Diksha Gupta, Madhav Marathe, Anil Vullikanti
Interdiction problems arise in a number of application areas, including global security, supply chains, and critical infrastructure protection - the goal is inhibit the movement of…
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
Oishee Bintey Hoque, Nibir Chandra Mandal, Mandy L Wilson +3
Concentrated Animal Feeding Operations (CAFOs) play an important role in agricultural production but are also associated with environmental, public health, and disease surveillance…
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…
Estimating the cascading global impacts of gas disruptions in Qatar
Ritwick Mishra, Diksha Gupta, Achla Marathe +7
This study examines the global impacts of a localized disruption in Qatar's gas sector using a multi-regional input-output framework and scenario-based analysis. While the direct i…