39 citations · 71 across the 13 of their papers we have counts for
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…
EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections
Rituparna Datta, Srini Venkatramanan, Bryan L. Lewis +6
Generation of clear and accessible public health narratives is critical for communicating complex epidemiological projections to policymakers and the general public at large. Such…
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…
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan +3
The COVID-19 pandemic represents the most significant public health disaster since the 1918 influenza pandemic. During pandemics such as COVID-19, timely and reliable spatio-tempor…
Data-driven modeling for different stages of pandemic response
Aniruddha Adiga, Jiangzhuo Chen, Madhav Marathe +3
Some of the key questions of interest during the COVID-19 pandemic (and all outbreaks) include: where did the disease start, how is it spreading, who is at risk, and how to control…
Models for COVID-19 Pandemic: A Comparative Analysis
Aniruddha Adiga, Devdatt Dubhashi, Bryan Lewis +3
COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of…