Srini Venkatramanan

Publications

Full list as of the CV on file. Author initials "SV" denote Srinivasan Venkatramanan; "..." marks author lists condensed for length.

See also: Talks & Abstracts →

Book Chapters

2022

  1. L. Wang, A. Adiga, J. Chen, B. Lewis, A. Sadilek, SV, and M. Marathe, "Combining theory and data driven approaches for epidemic forecasts", in Knowledge-Guided Machine Learning, Chapman and Hall/CRC 55–82, 2022
  2. A. Adiga, B. Lewis, S. Levin, M. Marathe, H.V. Poor, S.S. Ravi, D.J. Rosenkrantz, R.E. Stearns, SV, A. Vullikanti, L. Wang, "AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice", in Artificial Intelligence in COVID-19, Springer, 2022
  3. A. Adiga, A. Wilson, SV, ..., M. Marathe, and NSSAC-BII team, "The role of Artificial Intelligence in Epidemiological Modeling", in AI for Science, World Scientific Press, 2022

Journal Articles

2026

  1. T. McAndrew, M. S. Majumder, A. A. Lover, SV, ..., J. Cambeiro, and D. Braun, "Assessing human judgment forecasts in the rapid spread of the mpox outbreak: insights and challenges for pandemic preparedness", BMC Infectious Diseases (2026)

2025

  1. B. Espinoza, SV, A. S. Warren, B. L. Lewis, H. V. Poor, S. A. Levin, and M. V. Marathe, "Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics", Proceedings of the National Academy of Sciences, 123(11), e2521031123, 2025
  2. S. L. Loo, S. Jung, L. Contamin, ..., SV, ..., C. Viboud, J. Lessler, S. Truelove, "Scenario Projections of COVID-19 Burden in the US, 2024–2025", JAMA Network Open 8(9), e2532469, 2025
  3. J. Chen, S. Hoops, H. Mortveit, B. Lewis, D. Machi, P. Bhattacharya, SV, M. Wilson, C. Barrett, M. Marathe, "EPIHIPER—A high performance computational modeling framework to support epidemic science", PNAS Nexus, Vol. 4, Issue 1, January 2025

2024

  1. C. Chen, G. Kaur, A. Adiga, B. Espinoza, SV, ..., M. Marathe, "Wastewater-based Epidemiology for COVID-19 Surveillance: A Survey", Epidemics, Vol. 49, 100793, 2024
  2. S. Mathis, A. Webber, ..., SV, ..., M. Biggerstaff, R. Borchering, "Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations", Nature Communications 15.1, 6289, 2024
  3. S. Loo, M. Chinazzi, A. Srivastava, SV, S. Truelove, C. Viboud, "Preface: COVID-19 Scenario Modeling Hubs", Epidemics, Vol. 48, 100788, 2024
  4. M. C. Runge, K. Shea, E. Howerton, ..., SV, S. Truelove, J. Lessler, C. Viboud, "Scenario Design for Infectious Disease Projections: Integrating Concepts from Decision Analysis and Experimental Design", Epidemics, 100775, 2024
  5. J. Chen, P. Bhattacharya, S. Hoops, D. Machi, A. Adiga, H. Mortveit, SV, B. Lewis, and M. Marathe, "Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub", Epidemics 48, 100779, 2024
  6. P. Bhattacharya, D. Machi, J. Chen, S. Hoops, B. Lewis, H. Mortveit, SV, ..., C. Barrett, M. Marathe, "Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread", Journal of Parallel and Distributed Computing 191, 104899, 2024
  7. P. Porebski, SV, A. Adiga, B. Klahn, ..., B. Lewis, "Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections", Epidemics 47, 100761, 2024
  8. V. Lopez, E. Y. Cramer, ..., SV, ..., M. Biggerstaff, N. G. Reich, and M. Johansson, "Challenges of COVID-19 Case Forecasting in the US, 2020–2021", PLoS Computational Biology 20.5, e1011200, 2024
  9. S. Jung, S. L. Loo, E. Howerton, ..., SV, ..., S. Truelove, C. Viboud, and J. Lessler, "Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub", PLoS Medicine 21.4, e1004387, 2024
  10. Z. Mehrab, L. Stundal, SV, ..., D. Leblang, R. Colwell, and M. Marathe, "An Agent-based framework to study forced migration: A case study of Ukraine", PNAS Nexus, Vol. 3, Issue 3, pg80, 2024

2023

  1. E. Howerton, L. Contamin, ..., SV, ..., K. Shea, C. Viboud, and J. Lessler, "Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty", Nature Communications 14.1, 7260, 2023
  2. B. Espinoza, A. Adiga, SV, A. S. Warren, ..., S. Levin, and M. Marathe, "Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions", Proceedings of the National Academy of Sciences 120.48, e2305227120, 2023
  3. P. V. Prasad, M. K. Steele, C. Reed, ..., SV, ..., and M. Biggerstaff, "Multimodeling approach to evaluating the efficacy of layering pharmaceutical and nonpharmaceutical interventions for influenza pandemics", Proceedings of the National Academy of Sciences 120.28, e2300590120, 2023
  4. K. Sherratt, H. Gruson, H. Johnson, ..., SV, ..., J. Bracher, and S. Funk, "Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations", Elife 12, e81916, 2023
  5. R. K. Borchering, L.C. Mullany, E. Howerton, ..., SV, ..., C. Viboud, and J. Lessler, "Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: a multi-model study", Lancet Regional Health–Americas 17, 100398, 2023

2022

  1. T. McAndrew, M. Majumder, A. Lover, SV, ..., N. Bosse, and J. Cambeiro, "Early human judgment forecasts of human monkeypox, May 2022", The Lancet Digital Health 4.8, e569–e571, 2022
  2. E. Cramer, Y. Huang, Y. Wang, ..., M. Zorn, and N. Reich, "The United States COVID-19 Forecast Hub dataset", Scientific Data 9.1, 1–15, 2022
  3. Z. Mehrab, A. Adiga, M. Marathe, SV, S. Swarup, "Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19", ACM Transactions on Spatial Algorithms and Systems, 2022
  4. S. Truelove, C.P. Smith, ..., SV, ..., M. Runge, and C. Viboud, "Projected resurgence of COVID-19 in the United States in July–December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination", Elife 11, e73584, 2022
  5. P. Bhattacharya, J. Chen, S. Hoops, D. Machi, B. Lewis, SV, ..., C. Barrett, and M. Marathe, "Data-Driven Scalable Pipeline using National Agent-Based Models for Real-time Pandemic Response and Decision Support", The International Journal of High Performance Computing Applications (IJHPCA), 2022 Gordon Bell finalist

2021

  1. J. Chen, A. Vullikanti, J. Santos, SV, ..., C. Barrett, and A. Marathe, "Epidemiological and Economic Impact of COVID-19 in the US", Scientific Reports 11.1, 1–12, 2021
  2. S. Pollett, M.A. Johannson, N. G. Reich, D. Brett-Major, SV, ..., Oliver Brady, and C. Rivers, "Recommended reporting items for epidemic forecasting and prediction research: the EPIFORGE 2020 guidelines", PLoS Medicine 18.10, e1003793, 2021
  3. R. K. Borchering, C. Viboud, E. Howerton, ..., SV, ..., K. Shea, and J. Lessler, "Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021", Morbidity and Mortality Weekly Report (MMWR) 70.19, 719, 2021
  4. SV, A. Sadilek, A. Fadikar, ..., L. Wang, and M. Marathe, "Forecasting influenza activity using machine-learned mobility map", Nature Communications 12.1, 1–12, 2021

2020

  1. A.S. Poudel, B.B. Shrestha, M.D. Joshi, R. Muniappan, A. Adiga, SV, and P.K. Jha, "Predicting the current and future potential distribution of an invasive weed Ageratina adenophora in Chitwan-Annapurna Landscape, Nepal", Mountain Research and Development 40.2, R61, 2020
  2. A. Adiga, D. Dubhashi, B. Lewis, M. Marathe, SV, and A. Vullikanti, "Mathematical Models for COVID-19 Pandemic: A Comparative Analysis", Journal of the Indian Institute of Science 100, 793–807, 2020
  3. A. Adiga, J. Chen, M. Marathe, H. Mortveit, SV, and A. Vullikanti, "Data-Driven Modeling for Different Stages of Pandemic Response", Journal of the Indian Institute of Science 100, 901–915, 2020
  4. J. Chen, A. Vullikanti, S. Hoops, H. Mortveit, B. Lewis, SV, W. You, S. Eubank, M. Marathe, C. Barrett, and A. Marathe, "Medical Costs of Keeping the US Economy Open During COVID-19", Scientific Reports 10.1, 1–10, 2020
  5. P. Sambaturu, P. Bhattacharya, J. Chen, B. Lewis, M. Marathe, SV, and A. Vullikanti, "An automated approach for finding spatio-temporal patterns in disease spread", JMIR Public Health Surveillance 6(3), e12842, 2020
  6. S. Eubank, I. Eckstrand, B. Lewis, SV, M. Marathe, and C. Barrett, "Commentary on Ferguson, et al., 'Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand'", Bulletin of Mathematical Biology 82.4, 1–7, 2020
  7. P. Telionis, SV, P. Corbett, and B. Lewis, "Methods for Rapid Mobility Estimation to Support Outbreak Response", Health Security 18.1, 1–15, 2020
  8. SV, S. Wu, B. Shi, A. Marathe, M. Marathe, S. Eubank, L. Sah, A.P. Giri, L. Colavito, Nitin S, Sridhar V, Asokan R, R. Muniappan, G. Norton, and A. Adiga, "Modeling commodity flow in the context of invasive species spread: Study of Tuta absoluta in Nepal", Crop Protection 135, 104736, 2020

2019

  1. SV, J. Chen, A. Fadikar, S. Gupta, D. Higdon, B. Lewis, M. Marathe, H. Mortveit, and A. Vullikanti, "Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints", PLOS Computational Biology 15.9, e1007111, 2019

2018

  1. A. Fadikar, D. Higdon, J. Chen, B. Lewis, SV, and M. Marathe, "Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation", SIAM/ASA Journal on Uncertainty Quantification 6.4, 1685–1706, 2018
  2. Q. F. Ying, D. M. Chiu, SV, and X. Zhang, "User modeling and usage profiling based on temporal posting behavior in OSNs", Online Social Networks and Media 8, 32–41, 2018
  3. W. Yan, SV, and D. M. Chiu, "A Population Model for Academia: Case Study of the Computer Science Community using DBLP Bibliography 1960–2016", IEEE Transactions on Emerging Topics in Computing, 2018
  4. SV, B. Lewis, J. Chen, D. Higdon, A. Vullikanti, and M. Marathe, "Using data-driven agent-based models for forecasting emerging infectious diseases", Epidemics 22, 43–49, 2018

2017

  1. F. S. Tabataba, P. Chakraborty, N. Ramakrishnan, SV, J. Chen, B. Lewis, and M. Marathe, "A Framework for Evaluating Epidemic Forecasts", BMC Infectious Diseases 17.1, 345, 2017

2016

  1. W. Yan, SV, and D. M. Chiu, "Research collaboration and topic trends in Computer Science based on top active authors", PeerJ Computer Science 2, e41, 2016

2014

  1. SV and A. Kumar, "Co-Evolution of Content Spread and Popularity in Mobile Opportunistic Networks", IEEE Transactions on Mobile Computing 13.11, 2498–2509, 2014

Conference and Workshop Papers

2026

  1. G. Kaur, J. Chen, ..., A. Warren, S. Venkatramanan, A. Vullikanti, "Optimizing Wastewater Surveillance Sites for COVID-19 Hospitalization Forecasting Across U.S. States", accepted at Winter Simulation Conference, 2026
  2. R. Datta, Z. Guan, ..., SV, N. Ramakrishnan, and A. Vullikanti, "Agentic Framework for Epidemiological Modeling", accepted at International Conference on Machine Learning (ICML), 2026 (arXiv:2602.00299)

2025

  1. S. Mutnuri, A. Adiga, SV, M. Marathe, "Causal Analysis of Graph Signals for Brain Effectome Inference", Asilomar Conference on Signals, Systems, and Computers (ASILOMAR), 2025
  2. Z. Mehrab, S. S. Ravi, H. Mortveit, SV, S. Swarup, B. Lewis, D. Leblang, and M. Marathe, "Agent-based social simulation of spatiotemporal process-triggered graph dynamical systems", Winter Simulation Conference (WSC), 2025
  3. Z. Mehrab, S.S. Ravi, L. Stundal, S. Swarup, SV, B. Lewis, H. Mortveit, D. Leblang, M. Marathe, "Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine", The 34th International Joint Conference on Artificial Intelligence (IJCAI-25) – AI and Social Good Track
  4. S. Mutnuri, A. Adiga, SV, M. Marathe, "Causal Analysis of Graph Signals for Brain Effectome Inference", oral presentation at Graph Signal Processing Workshop (GSP), 2025

2024

  1. S. A. Moon, J. Chen, ..., SV, A. Vullikanti, A. Warren, "Agent-Based Simulation Framework for Multi-Variant Surveillance", Winter Simulation Conference (WSC), 2024
  2. J. Nachison, SV, "VISHN: Viral Load and Immunity Simulation on a Host Network", Annual Modeling and Simulation Conference (ANNSIM), 2024
  3. Z. Mehrab, L. Stundal, S. Swarup, SV, ..., D. A. Leblang, R. Colwell, and M. Marathe, "Network Agency: An Agent-based Model of Forced Migration from Ukraine", The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2024
  4. Z. Mehrab, L. Stundal, SV, ..., D. Leblang, R. Colwell, and M. Marathe, "A Generalizable Theory-driven Agent-based Framework to Study Conflict-induced Forced Migration", The Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-24)

2023

  1. A. Adiga, S. Athreya, ..., R. Sundaresan, SV, and S. Yasodharan, "A Multi-Team Multi-Model Collaborative COVID-19 Forecasting Hub for India", Winter Simulation Conference (WSC), 2023
  2. A. Adiga, S. Singh, ..., SV, M. Marathe, and A. Adiga, "A Robust Deep Learning Framework Reveals the Spread of Multiple Invasive Plants in a Biodiversity Hotspot using Satellite Imagery", Workshop on Artificial Intelligence for Social Good, co-held with AAAI, 2023
  3. A. Adiga, G. Kaur, L. Wang, B. Hurt, P. Porebski, SV, B. Lewis, and M. Marathe, "Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts", The Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-23)

2022

  1. A. Adiga, G. Kaur, L. Wang, B. Hurt, P. Porebski, SV, B. Lewis, and M. Marathe, "Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources", IEEE International Conference on Big Data (IEEE BigData), 2022 Best Paper Award
  2. J. Chen, S. Hoops, A. Marathe, H. Mortveit, B. Lewis, SV, ..., C. Barrett, and M. Marathe, "Effective Social Network-Based Allocation of COVID-19 Vaccines", Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 4675–4683, 2022
  3. R. Rajuladevi, M. Marathe, P. Porebski, SV, "Impact of Seeding and Spatial Heterogeneity on Metapopulation Disease Dynamics", epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery, co-held with KDD, 2022
  4. L. Wang, A. Adiga, J. Chen, A. Sadilek, SV, M. Marathe, "CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022

2021

  1. P. Bhattacharya, D. Machi, J. Chen, S. Hoops, B. Lewis, H. Mortveit, SV, ..., C. Barrett, and M. Marathe, "AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US", IEEE International Conference on Big Data (IEEE BigData), 2021
  2. S. Hoops, J. Chen, A. Adiga, ..., "A Scalable Agent-Based Modeling Framework to Study Realistic Contact Tracing Protocols", Winter Simulation Conference (WSC), 2021
  3. A. Adiga, L. Wang, B. Hurt, A. S. Peddireddy, P. Porebski, SV, B. Lewis, and M. Marathe, "All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting", ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
  4. A. Talekar, N. Vaidhiyan, S. Shriram, G. Aggarwal, J. Chen, SV, L. Wang, A. Adiga, A. Sadilek, A. Tendulkar, M. Marathe, R. Sundaresan and M. Tambe, "Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway", extended abstract at International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021
  5. D. Machi, P. Bhattacharya, S. Hoops, J. Chen, H. Mortveit, SV, B. Lewis, M. Wilson, A. Fadikar, T. Maiden, C. L. Barrett, M. V. Marathe, "Scalable Epidemiological Workflows to Support COVID-19 Planning and Response", IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2021

2020

  1. L. Wang, A. Adiga, A. Sadilek, A. Tendulkar, SV, A. Vullikanti, G. Aggarwal, A. Talekar, J. Chen, B. Lewis, S. Swarup, A. Kapoor, M. Tambe, and M. Marathe, "Using Mobility Data to Understand and Forecast COVID-19 Dynamics", AI for Social Good Workshop, International Joint Conference on Artificial Intelligence (IJCAI), 2020
  2. L. Wang, A. Adiga, SV, J. Chen, B. Lewis, and M. Marathe, "Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting", IEEE BigData Workshop on Data Science in Medicine and Healthcare (DSMH), 2020
  3. A. S. Peddireddy, D. Xie, P. Patil, M. Wilson, D. Machi, SV, B. Klahn, P. Porebski, P. Bhattacharya, S. Dumbre, E. Raymond, and M. Marathe, "From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance", IEEE International Conference on Big Data (IEEE BigData), 2020
  4. A. Adiga, S. Singh, E. Choo, SV, M. Marathe, P. Jha, S. Dhakal, K. Poudel, B. B. Shreshta, R. Muniappan, S. Mahajan, A. Devkota, A. Adiga, "A Deep Learning Framework for Invasive Species Mapping using High-Resolution Satellite Imagery", ASPRS Annual Conference, 2020
  5. P. Sambaturu, B. Adhikari, B. A. Prakash, SV, and A. Vullikanti, "Designing Near-Optimal Temporal Interventions to Contain Epidemics", International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020

2019

  1. A. Adiga, SV, S. Wu, M. Marathe, S. Eubank, L. P. Sah, A. P. Giri, L. Colavito, R. Muniappan, "Understanding the Role of Seasonal Food Trade Networks in Invasive Species Spread", SIAM Workshop of Network Science, 2019

2018

  1. M. Nath, SV, B. Kaperick, S. Eubank, M. Marathe, A. Marathe, and A. Adiga, "Using Network Reliability to Understand International Food Trade Dynamics", Complex Networks, 2018
  2. Q. F. Ying, D. M. Chiu, SV, and X. Zhang, "Profiling OSN Users Based on Temporal Posting Patterns", WWW '18 Companion Proceedings of The Web Conference, 2018

2017

  1. SV, S. Wu, B. Shi, A. Marathe, M. Marathe, S. Eubank, L. P. Sah, A. P. Giri, L. Colavito, Nitin S, Sridhar V, Asokan R, R. Muniappan, G. Norton, and A. Adiga, "Towards Robust Models of Food Flows and Their Role in Invasive Species Spread", IEEE International Conference on Big Data (IEEE BigData), 2017
  2. F. S. Tabataba, M. Hosseinipour, B. Lewis, F. S. Tabataba, SV, D. Higdon, J. Chen, and M. Marathe, "Epidemic Forecasting by Combining Agent-Based Models and Smart Beam-Particle Filtering Framework", IEEE International Conference on Data Mining (ICDM), 2017
  3. SV, J. Chen, S. Gupta, B. Lewis, M. Marathe, H. Mortveit, and A. Vullikanti, "Spatio-temporal optimization of seasonal vaccination using a metapopulation model of influenza", IEEE International Conference on Healthcare Informatics (ICHI), 2017
  4. SV, A. Marathe, S. Eubank, M. Marathe, A. Adiga, "Hybrid models for ecological and anthropogenic drivers of pest invasion: Case study of Tuta absoluta in Nepal", International Conference on Biodiversity, Climate Change Assessment and Impacts on Livelihood (ICBCL), 2017

2016

  1. W. Yan, SV, and D. M. Chiu, "Get To the Top and Stay There: A Study of Citation Rank Dynamics in Academia", International Conference Companion on World Wide Web (BigScholar), 2016
  2. A. Adiga, SV, and A. Vullikanti, "To delay or not: Temporal Vaccination Games on Networks", IEEE International Conference on Computer Communications (INFOCOM), 2016

2015

  1. W. Yan, SV, and D. M. Chiu, "Research Collaboration and Topic Trends in Computer Science – An Analysis Based on UCP Authors", International Conference Companion on World Wide Web (SAVE-SD), 2015
  2. Q. F. Ying, SV, and D. M. Chiu, "Modeling and Analysis of Scholar Mobility on Scientific Landscape", International Conference Companion on World Wide Web (BigScholar), 2015

2014

  1. SV and A. Kumar, "Competition for Content Spread over Multiple Social Networks", Workshop on Social Networks in Science and Engineering (SCINSE'14), co-held with COMSNETS, 2014 Best Presentation Award

2013

  1. E. Altman, P. Kumar, SV, and A. Kumar, "Competition over Timeline in Social Networks", Workshop on Social Network Analysis and Algorithms (SNAA), co-held with IEEE/ACM ASONAM, 2013

2012

  1. SV and A. Kumar, "Co-evolution of Content Popularity and Delivery in Mobile P2P Networks", IEEE International Conference on Computer Communications (INFOCOM), 2012

2011

  1. SV and A. Kumar, "Information Dissemination in Socially Aware Networks under the Linear Threshold model", National Conference on Communication (NCC), 2011

Technical Reports and Preprints

2026

  1. A. Adiga, J. Chou, A. Chiranth, ..., M. Marathe, H. Hochheiser, and SV, "IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem", arXiv:2604.18521
  2. A. Nande, S.L. Larsen, ..., SV, ..., C. Viboud, J. Lessler, and S. Truelove, "Assessing the Impact of Timing and Coverage of United States COVID-19 Vaccination Campaigns: A Multi-Model Approach", medRxiv 2026.04.07.26349269

2022

  1. SV, J. Cambeiro, T. Liptay, B. Lewis, M. Orr, G. Dempsey, A. Telionis, J. Crow, C. Barrett, and M. Marathe, "Utility of human judgment ensembles during times of pandemic uncertainty: A case study during the COVID-19 Omicron BA.1 wave in the USA", medRxiv, 2022
  2. A. Adiga, S. Athreya, M. Marathe, J. Midthala, N. Rathod, R. Sundaresan, SV, and S. Yasodharan, "Impact of weeknight and weekend curfews using mobility data: A case study of Bengaluru Urban", medRxiv, 2022

2021

  1. A. Pilehvari, W. You, J. Chen, J. Krulick, S. Venkatramanan, and A. Marathe, "Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability", Research Square, 2021
  2. A. Adiga, S. Athreya, B. Lewis, M. Marathe, N. Rathod, R. Sundaresan, S. Swarup, SV, and S. Yasodharan, "Strategies to Mitigate COVID-19 Resurgence Assuming Immunity Waning: A Study for Karnataka, India", medRxiv, 2021
  3. J. Chen, S. Hoops, A. Marathe, H. Mortveit, B. Lewis, SV, A. Haddadan, ..., C. Barrett, and M. Marathe, "Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness", medRxiv, 2021

2020

  1. Z. Mehrab, A. G. Ranga, D. Sarkar, SV, Y. Chungbaek, S. Swarup, and M. Marathe, "High resolution proximity statistics as early warning for US universities reopening during COVID-19", medRxiv, 2020
  2. N. Wu, X. Ben, B. Green, K. Rough, SV, M. Marathe, P. Eastham, A. Sadilek, and S. O'Banion, "Predicting Onset of COVID-19 with Mobility-Augmented SEIR model", medRxiv, 2020
  3. A. Adiga, L. Wang, A. Sadilek, A. Tendulkar, SV, A. Vullikanti, G. Aggarwal, A. Talekar, X. Ben, J. Chen, B. Lewis, S. Swarup, M. Tambe, and M. Marathe, "Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics", medRxiv, 2020
  4. A. Adiga, SV, J. Schlitt, ..., M. Marathe, and C. Barrett, "Evaluating the impact of international airline suspensions on the early global spread of COVID-19", medRxiv, 2020

2017

  1. E. A. Heinrichs, J. Sidhu, R. Muniappan, A. Fayad, A. Adiga, A. Marathe, J. Mcnitt, and SV, "Pest Risk Assessment of the Fall Armyworm, Spodoptera frugiperda in Egypt", Feed the Future Innovation Lab for Integrated Pest Management Technical Report, 2017

2014

  1. SV and A. Kumar, "Influence Spread in Social Networks: A Study via a Fluid Limit of the Linear Threshold Model", arXiv:1405.7096, 2014

2010

  1. SV and A. Kumar, "New Insights from an Analysis of Social Influence Networks under the Linear Threshold model", arXiv:1002.1335, 2010