24 citations · 46 across the 24 of their papers we have counts for
24 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…
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
Oishee Bintey Hoque, Nibir Chandra Mandal, Kyle Luong +4
Large-scale livestock operations pose significant risks to human health and the environment, while also being vulnerable to threats such as infectious diseases and extreme weather…
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
Ritwick Mishra, Abhijin Adiga, Madhav Marathe +3
Estimating the true prevalence of an epidemic outbreak is a key public health problem. This is challenging because surveillance is usually resource intensive and biased. In the net…
Localized risk perception triggers early behavioral adaptations in epidemics on networks
Baltazar Espinoza, Jimmy Calvo-Monge, Fabio Sanchez +2
The contact structure of the population shapes the progression of epidemics. Nonetheless, the joint evolution of individual behavioral adaptations and disease dynamics on networks…
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga +4
Accurate mapping of irrigation methods is crucial for sustainable agricultural practices and food systems. However, existing models that rely solely on spectral features from satel…
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping
Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga +7
We introduce IrrMap, the first large-scale dataset (1.1 million patches) for irrigation method mapping across regions. IrrMap consists of multi-resolution satellite imagery from La…
Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
Kazi Ashik Islam, Zakaria Mehrab, Mahantesh Halappanavar +5
Coastal flooding poses increasing threats to communities worldwide, necessitating accurate and hyper-local inundation forecasting for effective emergency response. However, real-wo…
A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread
Abhijin Adiga, Ayush Chopra, Mandy L. Wilson +8
One Health issues, such as the spread of highly pathogenic avian influenza~(HPAI), present significant challenges at the human-animal-environmental interface. Recent H5N1 outbreaks…
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
Oishee Bintey Hoque, Samarth Swarup, Abhijin Adiga +2
Irrigation mapping plays a crucial role in effective water management, essential for preserving both water quality and quantity, and is key to mitigating the global issue of water…
Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A Survey
Chen Chen, Yunfan Wang, Gursharn Kaur +10
The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is importan…
A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe +3
Evacuation planning is an essential part of disaster management where the goal is to relocate people under imminent danger to safety. However, finding jointly optimal evacuation ro…
High-resolution synthetic residential energy use profiles for the United States
Swapna Thorve, Young Yun Baek, Samarth Swarup +4
Efficient energy consumption is crucial for achieving sustainable energy goals in the era of climate change and grid modernization. Thus, it is vital to understand how energy is co…
Cascading Failures in Power Grids
Rounak Meyur
This paper studies the consequences of a human-initiated targeted attack on the national electric power system. We consider two kinds of attacks: () an attack by an adversary th…
Ensembles of Realistic Power Distribution Networks
Rounak Meyur, Anil Vullikanti, Samarth Swarup +5
The power grid is going through significant changes with the introduction of renewable energy sources and incorporation of smart grid technologies. These rapid advancements necessi…
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe +3
Evacuation planning is a crucial part of disaster management. However, joint optimization of its two essential components, routing and scheduling, with objectives such as minimizin…
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
Rounak Meyur, Swapna Thorve, Madhav Marathe +3
Residential consumers have become active participants in the power distribution network after being equipped with residential EV charging provisions. This creates a challenge for t…
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response
George Li, Ann Li, Madhav Marathe +3
In response to COVID-19, many countries have mandated social distancing and banned large group gatherings in order to slow down the spread of SARS-CoV-2. These social interventions…
A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation
George Li, Arash Haddadan, Ann Li +4
Efficient contact tracing and isolation is an effective strategy to control epidemics. It was used effectively during the Ebola epidemic and successfully implemented in several par…
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report
Jacob Ritchie, Mark Whiting, Sorathan Chaturapruek +5
Beginning in April 2020, we gathered partial county-level data on non-pharmaceutical interventions (NPIs) implemented in response to the COVID-19 pandemic in the United States, usi…