Pandemics, Detection and Management. - Christopher L. Barrett; Stephen G. Eubank; Bryan L. Lewis; Madhav V. Marathe (Encyclopedia of GIS, 2008)

A Study of Information Diffusion over a Realistic Social Network Model. - Andrea Apolloni; Karthik Channakeshava; Lisa Durbeck; Maleq Khan; Chris J. Kuhlman; Bryan L. Lewis; Samarth Swarup (CSE (4), 2009)

Generation and Analysis of Large Synthetic Social Contact Networks. - Christopher L. Barrett; Richard J. Beckman; Maleq Khan; V. S. Anil Kumar 001; Madhav V. Marathe; Paula Elaine Stretz; Tridib Dutta; Bryan L. Lewis (WSC, 2009)

Clustering method incorporating network topology and dynamics. - Chris J. Kuhlman; Bryan L. Lewis; Richard J. Beckman; Stephen G. Eubank; Tridib Dutta (SpringSim, 2010)

Hospitals as Complex Social Systems: Agent-Based Simulations of Hospital-Acquired Infections. - José M. Jiménez; Bryan L. Lewis; Stephen G. Eubank (Complex, 2012)

Optimizing epidemic protection for socially essential workers. - Christopher L. Barrett; Richard J. Beckman; Keith R. Bisset; Jiangzhuo Chen; Thomas M. DuBois; Stephen G. Eubank; V. S. Anil Kumar 001; Bryan L. Lewis; Madhav V. Marathe; Aravind Srinivasan; Paula Elaine Stretz (IHI, 2012)

Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. - Nidhi Parikh; Samarth Swarup; Paula Elaine Stretz; Caitlin M. Rivers; Bryan L. Lewis; Madhav V. Marathe; Stephen G. Eubank; Christopher L. Barrett; Kristian Lum; Youngyun Chungbaek (AAMAS, 2013)

Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology. - Christopher L. Barrett; Keith R. Bisset; Jiangzhuo Chen; Stephen G. Eubank; Bryan L. Lewis; V. S. Anil Kumar 001; Madhav V. Marathe; Henning S. Mortveit (Fundamental Problems in Computing, 2013)

Planning and response in the aftermath of a large crisis: An agent-based informatics framework. - Christopher L. Barrett; Keith R. Bisset; Shridhar Chandan; Jiangzhuo Chen; Youngyun Chungbaek; Stephen G. Eubank; C. Yaman Evrenosoglu; Bryan L. Lewis; Kristian Lum; Achla Marathe; Madhav V. Marathe; Henning S. Mortveit; et al. (WSC, 2013)

In silico surveillance: evaluating outbreak detection with simulation models. - Bryan L. Lewis; Stephen G. Eubank; Allyson M. Abrams; Ken P. Kleinman (BMC Medical Informatics Decis. Mak., 2013)

ISIS: a networked-epidemiology based pervasive web app for infectious disease pandemic planning and response. - Richard J. Beckman; Keith R. Bisset; Jiangzhuo Chen; Bryan L. Lewis; Madhav V. Marathe; Paula Elaine Stretz (KDD, 2014)

Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. - Prithwish Chakraborty; Pejman Khadivi; Bryan L. Lewis; Aravindan Mahendiran; Jiangzhuo Chen; Patrick Butler; Elaine O. Nsoesie; Sumiko R. Mekaru; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (SDM, 2014)

Ethical research standards in a world of big data. - Caitlin M. Rivers; Bryan L. Lewis (F1000Research, 2014)

Flu Caster: A Pervasive Web Application for High Resolution Situation Assessment and Forecasting of Flu Outbreaks. - Suruchi Deodhar; Jiangzhuo Chen; Mandy L. Wilson; Manikandan Soundarapandian; Keith R. Bisset; Bryan L. Lewis; Christopher L. Barrett; Madhav V. Marathe (ICHI, 2015)

An integrated agent-based approach for modeling disease spread in large populations to support health informatics. - Keith Bissett; Jose Cadena; Maleq Khan; Chris J. Kuhlman; Bryan L. Lewis; Pyrros A. Telionis (BHI, 2016)

Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. - Farzaneh Tabataba; Bryan L. Lewis; Milad Hosseinipour; Foroogh S. Tabataba; Srinivasan Venkatramanan; Jiangzhuo Chen; Dave Higdon; Madhav V. Marathe (ICDM, 2017)

Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. - Srinivasan Venkatramanan; Jiangzhuo Chen; Sandeep Gupta 004; Bryan L. Lewis; Madhav V. Marathe; Henning S. Mortveit; Anil Vullikanti (ICHI, 2017)

GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. - Saurav Ghosh; Prithwish Chakraborty; Bryan L. Lewis; Maimuna S. Majumder; Emily Cohn; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (KDD, 2017)

Hybrid Agent-based modeling of Zika in the united states. - Chris J. Kuhlman; Yihui Ren 001; Bryan L. Lewis; James Schlitt (WSC, 2017)

Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. - Saurav Ghosh; Prithwish Chakraborty; Bryan L. Lewis; Maimuna S. Majumder; Emily Cohn; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (CoRR, 2017)

A Framework for Evaluating Epidemic Forecasts. - Farzaneh Sadat Tabataba; Prithwish Chakraborty; Naren Ramakrishnan; Srinivasan Venkatramanan; Jiangzhuo Chen; Bryan L. Lewis; Madhav V. Marathe (CoRR, 2017)

Epidemiological and economic impact of pandemic influenza in Chicago: Priorities for vaccine interventions. - Nargesalsadat Dorratoltaj; Achla Marathe; Bryan L. Lewis; Samarth Swarup; Stephen G. Eubank; Kaja M. Abbas (PLoS Comput. Biol., 2017)

Pandemics, Detection and Management. - Christopher L. Barrett; Stephen G. Eubank; Bryan L. Lewis; Madhav V. Marathe (Encyclopedia of GIS, 2017)

EpiViewer: an epidemiological application for exploring time series data. - Swapna Thorve; Mandy L. Wilson; Bryan L. Lewis; Samarth Swarup; Anil Kumar S. Vullikanti; Madhav V. Marathe (BMC Bioinform., 2018)

Estimating individualized exposure impacts from ambient ozone levels: A synthetic information approach. - Bianica Pires; Gizem Korkmaz; Katherine B. Ensor; David Higdon; Sallie Keller; Bryan L. Lewis; Aaron D. Schroeder (Environ. Model. Softw., 2018)

Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. - Arindam Fadikar; Dave Higdon; Jiangzhuo Chen; Bryan L. Lewis; Srinivasan Venkatramanan; Madhav V. Marathe (SIAM/ASA J. Uncertain. Quantification, 2018)

What to know before forecasting the flu. - Prithwish Chakraborty; Bryan L. Lewis; Stephen G. Eubank; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (PLoS Comput. Biol., 2018)

Fast and near-optimal monitoring for healthcare acquired infection outbreaks. - Bijaya Adhikari; Bryan L. Lewis; Anil Vullikanti; José M. Jiménez; B. Aditya Prakash (PLoS Comput. Biol., 2019)

Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. - Srinivasan Venkatramanan; Jiangzhuo Chen; Arindam Fadikar; Sandeep Gupta 004; Dave Higdon; Bryan L. Lewis; Madhav V. Marathe; Henning S. Mortveit; Anil Vullikanti (PLoS Comput. Biol., 2019)

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. - Lijing Wang 001; Aniruddha Adiga; Srinivasan Venkatramanan; Jiangzhuo Chen; Bryan L. Lewis; Madhav V. Marathe (IEEE BigData, 2020)

Models for COVID-19 Pandemic: A Comparative Analysis. - Aniruddha Adiga; Devdatt P. Dubhashi; Bryan L. Lewis; Madhav V. Marathe; Srinivasan Venkatramanan; Anil Vullikanti (CoRR, 2020)

AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. - Parantapa Bhattacharya; Dustin Machi; Jiangzhuo Chen; Stefan Hoops; Bryan L. Lewis; Henning S. Mortveit; Srinivasan Venkatramanan; Mandy L. Wilson; Achla Marathe; Przemyslaw J. Porebski; Brian Klahn; Joseph Outten; et al. (IEEE BigData, 2021)

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. - Dustin Machi; Parantapa Bhattacharya; Stefan Hoops; Jiangzhuo Chen; Henning S. Mortveit; Srinivasan Venkatramanan; Bryan L. Lewis; Mandy L. Wilson; Arindam Fadikar; Tom Maiden; Christopher L. Barrett; Madhav V. Marathe (IPDPS, 2021)

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. - Aniruddha Adiga; Lijing Wang 001; Benjamin Hurt; Akhil Sai Peddireddy; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Bryan Leroy Lewis; Madhav V. Marathe (KDD, 2021)

Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. - Serina Chang; Mandy L. Wilson; Bryan L. Lewis; Zakaria Mehrab; Komal K. Dudakiya; Emma Pierson; Pang Wei Koh; Jaline Gerardin; Beth Redbird; David Grusky; Madhav V. Marathe; Jure Leskovec (KDD, 2021)

High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols. - Stefan Hoops; Jiangzhuo Chen; Abhijin Adiga; Bryan L. Lewis; Henning S. Mortveit; Hannah Baek; Mandy L. Wilson; Dawen Xie; Samarth Swarup; Srinivasan Venkatramanan; Justin Crow; Elena Diskin; et al. (WSC, 2021)

Generating a heterosexual bipartite network embedded in social network. - Asma Azizi Boroojeni; Zhuolin Qu; Bryan L. Lewis; James Mac Hyman (Appl. Netw. Sci., 2021)

Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. - Zakaria Mehrab; Mandy L. Wilson; Serina Chang; Galen Harrison; Bryan L. Lewis; Alex Telionis; Justin Crow; Dennis Kim; Scott Spillmann; Kate Peters; Jure Leskovec; Madhav V. Marathe (AAAI, 2022)

Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. - Aniruddha Adiga; Gursharn Kaur; Benjamin Hurt; Lijing Wang 001; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Bryan L. Lewis; Madhav V. Marathe (IEEE Big Data, 2022)

Effective Social Network-Based Allocation of COVID-19 Vaccines. - Jiangzhuo Chen; Stefan Hoops; Achla Marathe; Henning S. Mortveit; Bryan L. Lewis; Srinivasan Venkatramanan; Arash Haddadan; Parantapa Bhattacharya; Abhijin Adiga; Anil Vullikanti; Aravind Srinivasan; Mandy L. Wilson; et al. (KDD, 2022)

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. - Aniruddha Adiga; Gursharn Kaur; Lijing Wang 001; Benjamin Hurt; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Bryan L. Lewis; Madhav V. Marathe (AAAI, 2023)

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. - Aniruddha Adiga; Benjamin Hurt; Gursharn Kaur; Bryan Lewis 001; Madhav V. Marathe; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Ambedkar Dukkipati; Tony Gracious; Shubham Gupta; Nihesh Rathod; Rajesh Sundaresan; et al. (WSC, 2023)

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. - Parantapa Bhattacharya; Jiangzhuo Chen; Stefan Hoops; Dustin Machi; Bryan L. Lewis; Srinivasan Venkatramanan; Mandy L. Wilson; Brian Klahn; Aniruddha Adiga; Benjamin Hurt; Joseph Outten; Abhijin Adiga; et al. (Int. J. High Perform. Comput. Appl., 2023)

A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. - Zakaria Mehrab; Logan Stundal; Srinivasan Venkatramanan; Samarth Swarup; Bryan Leroy Lewis; Henning S. Mortveit; Christopher L. Barrett; Abhishek Pandey; Chad R. Wells; Alison P. Galvani; Burton H. Singer; Seyed M. Moghadas; et al. (AAAI, 2024)

Network Agency: An Agent-based Model of Forced Migration from Ukraine. - Zakaria Mehrab; Logan Stundal; Samarth Swarup; Srinivasan Venkatramanan; Bryan Lewis 001; Henning S. Mortveit; Christopher L. Barrett; Abhishek Pandey; Chad R. Wells; Alison P. Galvani; Burton H. Singer; David Leblang; et al. (AAMAS, 2024)

Agent-Based Simulation Framework for Multi-Variant Surveillance. - Sifat Afroj Moon; Jiangzhuo Chen; Baltazar Espinoza; Bryan Lewis 001; Madhav V. Marathe; Joseph Outten; Srinivasan Venkatramanan; Anil Vullikanti; Andrew S. Warren (WSC, 2024)

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; S. S. Ravi; Dawen Xie; Samarth Swarup; Bryan Lewis 001; Ramesh Raskar; Madhav V. Marathe (CoRR, 2024)

Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. - Parantapa Bhattacharya; Dustin Machi; Jiangzhuo Chen; Stefan Hoops; Bryan Lewis 001; Henning S. Mortveit; Srinivasan Venkatramanan; Mandy L. Wilson; Achla Marathe; Przemyslaw J. Porebski; Brian Klahn; Joseph Outten; et al. (J. Parallel Distributed Comput., 2024)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)

Impact of waning immunity against SARS-CoV-2 severity exacerbated by vaccine hesitancy. - Chadi M. Saad-Roy; Sinead E. Morris; Mike Boots; Rachel E. Baker; Bryan L. Lewis; Jeremy Farrar; Madhav V. Marathe; Andrea L. Graham; Simon A. Levin; Caroline E. Wagner; C. Jessica E. Metcalf; Bryan T. Grenfell (PLoS Comput. Biol., 2024)

"Less words, more pictures": creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management. - Virginia Lebaron; Natalie Crimp; Nutta Homdee; Kelly Reed; Victoria Petermann; William Ashe; Leslie Blackhall; Bryan Lewis 001 (Frontiers Digit. Health, 2025)