© 2024. All rights reserved.
© 2024. All rights reserved.
January 2024
[107] Chen Y, Gel YR, Marathe MV, Poor HV. A simplicial epidemic model for COVID-19 spread analysis. Proceedings of the National Academy of Sciences. 2024 Jan 2;121(1):e2313171120. Link
November 2023
[106] Espinoza B, Adiga A, Venkatramanan S, Warren AS, Chen J, Lewis BL, Vullikanti A, Swarup S, Moon S, Barrett CL, Athreya S. Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions. Proceedings of the National Academy of Sciences. 2023 Nov 28;120(48):e2305227120. Link
[105] Howerton E, et al. Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty. Nature Communications. 2023 Nov 20;14(1):7260. Link
October 2023
[104] Li GZ, Li A, Marathe M, Srinivasan A, Tsepenekas L, Vullikanti A. Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response. Autonomous Agents and Multi-Agent Systems. 2023 Oct;37(2):31. Link
August 2023
[103] Chen DQ, Li A, Li GZ, Marathe M, Srinivasan A, Tsepenekas L, Vullikanti A. Efficient and equitable deployment of mobile vaccine distribution centers. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023 Aug 19, 64-72. Link
[102] Harrison G, Alabsi Aljundi A, Chen J, Ravi SS, Vullikanti AK, Marathe MV, Adiga A. Identifying Complicated Contagion Scenarios from Cascade Data. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2023 Aug 6, 4135-4145. Link
June 2023
[101] Adiga A, Kaur G, Wang L, Hurt B, Porebski P, Venkatramanan S, Lewis B, Marathe MV. Phase-Informed Bayesian ensemble models improve performance of COVID-19 forecasts. InProceedings of the AAAI Conference on Artificial Intelligence. 2023 Jun 26, 37(13):15647-15653. Link
[100] Tozluoğlu Ç, Dhamal S, Yeh S, Sprei F, Liao Y, Marathe M, Barrett CL, Dubhashi D. A synthetic population of Sweden: datasets of agents, households, and activity-travel patterns. Data in Brief. 2023 Jun 1;48:109209. Link
May 2023
[99] Saliba S, Dadgostari F, Hoops S, Mortveit HS, Swarup S. Active Sensing for Epidemic State Estimation Using ABM-guided Machine Learning. Proceedings of the Multi-Agent-Based Simulation (MABS) Workshop. 2023 May. Link
[98] Shubha SS, Mahmud S, Shen H, Fox GC, Marathe M. Accurate and Efficient Distributed COVID-19 Spread Prediction based on a Large-Scale Time-Varying People Mobility Graph. 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS). 2023 May 15, 58-68. Link
April 2023
[97] Adiga A, Venkatramanan S, Chen J, Porebski P, Wilson M, Mortveit H, Lewis B, Crow J, Marathe M, BI-NSSAC Team. The Role of Artificial Intelligence in Epidemiological Modeling. Artificial Intelligence for Science: A Deep Learning Revolution. Eds Choudhary A, Fox G, Hey T. 2023; 355-377. Link
[96] Dixit A, Espinoza B, Qiu Z, Vullikanti A, Marathe M. Airborne disease transmission during indoor gatherings over multiple time scales: Modeling framework and policy implications. PNAS. 2023 April 10; 120(16):e2216948120. Link
[95] Kitson J, Costello I, Chen J, Hoops S, Meneses E, Mortveit H, Yeom J, Marathe M, Bhatele A. Ten Billion Events in Three Minutes: Scaling an Agent-based Epidemic Simulation on Realistic Social Contact Networks. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); 2023 Apr 5. Link
March 2023
[94] Hurt B, Hoque O, Mokrzycki F, Mathew A, Xue M, Gabitsinashvili L, Mokrzycki H, Fischer R, Telesca N, Xue L, Ritchie J, Zamfirescu-Pereira J, Bernstein M, Whiting M, Marathe M. COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information. Scientific Data. 2023 Mar 9;10(1):126. Link
[93] Qiu Z, Chen C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R, Vullikanti A. Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems. arXiv. 2023 Mar 3. Link
February 2023
[92] Adiga A, Kaur G, Hurt B, Wang L, Porebski P, Venkatramanan S, Lewis B, Marathe M. Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. To appear in Proceedings of the 2023 Innovative Applications of Artificial Intelligence (IAAI-23), co-located with AAAI 2023. 2023 Feb.
[91] Jang H, Fu A, Cui J, Kamruzzaman M, Prakash BA, Vullikanti A, Adhikari B, Pemmaraju S. Detecting Sources of Healthcare Associated Infections. To appear in Proceedings of the AAAI. 2023 Feb. Link
[90] Pandey A, Wells C, Stadnytskyi V, Moghadas S, Marathe M, Sah P, Crystal W, Meyers L, Singer B, Nesterova O, Galvani A. Disease burden among Ukrainians forcibly displaced by the 2022 Russian invasion. Proceedings of the National Academy of Sciences. 2023 Feb 21;120(8):e2215424120.
[89] Qiu Z, Chen C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R, Vullikanti A. Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. To appear in Proceedings of the AAAI. 2023 Feb. Link
January 2023
[88] Bhattacharya P, Chen J, Hoops S, Machi D, Lewis B, Venkatramanan S, Wilson M, Klahn B, Adiga A, Hurt B, Outten J. 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. 2023 Jan;37(1):4-27. Link
[87] Borchering RK, Mullany LC, Howerton E, Chinazzi M, Smith CP, Qin M, Reich NG, Contamin L, Levander J, Kerr J, Espino J. 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. The Lancet Regional Health-Americas. 2023 Jan 1;17:100398. Link
December 2022
[86] Adiga A, Kaur G, Hurt B, Wang L, Porebski P, Venkatramanan S, Lewis B, Marathe M. Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. Proceedings of the IEEE International Conference on Big Data (Big Data). 2022 Dec 17;1594-1603. Link
[85] Dadgostari F, Swarup S, Adams S, Beling P. Mortveit H. Identifying correlates of emergent behaviors in agent-based simulation models using inverse reinforcement learning. Proceedings of the Winter Simulation Conference (WSC). 2022 Dec 11;322-333. Link
[84] Thakur M, Zhou R, Mohan M, Marathe A, Chen J, Hoops S, Machi D, Lewis B, Vullikanti A. COVID’s collateral damage: likelihood of measles resurgence in the United States. BMC Infectious Diseases. 2022 Dec;22(1):1-8. Link
[83] Mehrab Z, Adiga A, Marathe M, Venkatramanan S, Swarup S. Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19. ACM Transactions on Spatial Algorithms and Systems. 2022 Dec 1;8(4):1-51. Link
November 2022
[82] Adiga A, Lewis B, Levin S, Marathe M, Poor HV, Ravi SS, Rosenkrantz D, Stearns R, Venkatramanan S, Vullikanti A, Wang L. AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice. Artificial Intelligence in Covid-19. 2022;193-228. Springer, Cham. Link
[81] Chou J, Chen J, Marathe M. Estimate Causal Effects of Public Health Policies in COVID-19 Pandemic. AAAI 2022 Fall Symposium Series (FSS), Knowledge-Guided Machine Learning (KGML-AAAI-22). 2022 Nov 17.
October 2022
[80] Venkatramanan S, Cambeiro J, Liptay T, Lewis B, Orr M, Dempsey G, Telionis A, Crow J, Barrett C, Marathe M. 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 Oct 13. Link
September 2022
[79] Carscadden H, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D. Techniques for blocking the propagation of two simultaneous contagions over networks using a graph dynamical systems framework. Network Science. 2022 Sep;10(3):234-60. doi: 10.1017/nws.2022.18. Link
August 2022
[78] Adiga A, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R. Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems. Journal of Machine Learning Research. 2022 Aug;23(251):1-43. Link
[77] Chen J, Hoops S, Marathe A, Mortveit H, Lewis B, Venkatramanan S, Haddadan A, Bhattacharya P, Adiga A, Vullikanti A, Srinivasan A. Effective Social Network-Based Allocation of COVID-19 Vaccines. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022 Aug 14;4675-4683. Link
[76] Cramer E, et al. The United States COVID-19 Forecast Hub dataset. Scientific Data. 2022 Aug 1;9(1):1-5. Link
[75] McAndrew T, Majumder M, Lover A, Venkatramanan S, Bocchini P, Besiroglu T, Codi A, Braun D, Dempsey G, Abbott S, Chevalier S. Early human judgment forecasts of human monkeypox, May 2022. The Lancet Digital Health. 2022 Aug 1;4(8):e569-71. Link
[74] Rajuladevi RS, Marathe M, Porebski P, Venkataramanan S. Impact of Seeding and Spatial Heterogeneity on Metapopulation Disease Dynamics. InepiDAMIK 5.0: The 5th International workshop on Epidemiology meets Data Mining and Knowledge Discovery (KDD). 2022 Aug 15. Link
July 2022
[73] Espinoza B, Swarup S, Barrett C, Marathe M. Heterogeneous Adaptive Behavioral Responses May Increase Epidemic Burden. Scientific Reports. 2022 Jul 4;12(1):1-13. Link
[72] Wang L, Adiga A, Chen J, Lewis B, Sadilek A, Venkatramanan S, Marathe M. Combining Theory and Data-driven Approaches for Epidemic Forecast. Knowledge-guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data. Karpatne, Kannan, Kumar (Eds), CRC Press. Jul 2022. Link
June 2022
[71] Mehrab Z, Wilson M, Chang S, Harrison G, Lewis B, Telionis A, Crow J, Kim D, Spillmann S, Peters K, Leskovec J, Marathe M. Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. Proceedings of the AAAI Conference on Artificial Intelligence. 2022 Jun 28;36(11):12573-12579. Link
[70] Qiu Z, Chen C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R, Vullikanti A. Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. Proceedings of the AAAI Conference on Artificial Intelligence. 2022 Jun 28;36(9):9422-9430. Link
[69] Qiu Z, Espinoza B, Vasconcelos V, Chen C, Constantino S, Crabtree S, Yang L, Vullikanti A, Chen J, Weibull J, Basu K. Understanding the coevolution of mask wearing and epidemics: A network perspective. Proceedings of the National Academy of Sciences. 2022 Jun 28;119(26):e2123355119. Link
[68] Rosenkrantz D, Adiga A, Marathe M, Qiu Z, Ravi SS, Stearns R, Vullikanti A. Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries. Proceedings of the International Conference on Machine Learning. 2022 Jun 28;18796-18808. Link
[67] Sherratt K, et al. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations. medRxiv. 2022 Jun 16. Link
May 2022
[66] Babay AE, Dinitz M, Srinivasan A, Tsepenekas L, Vullikanti A. Controlling epidemic spread using probabilistic diffusion models on networks. Proceedings of the International Conference on Artificial Intelligence and Statistics. 2022 May 3;PMLR 151:11641-11654. Link
[65] Li GZ, Haddadan A, Li A, Marathe M, Srinivasan A, Vullikanti A, Zhao Z. Theoretical Models and Preliminary Results for Contact Tracing and Isolation. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. 2022 May 9;1672-1674. Link
[64] Li G, Li A, Marathe M, Srinivasan A, Tsepenekas L, Vullikanti A. Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. 2022 May 9;789-797. Link
April 2022
[63] Raymond E, Barrow G, Levin S, Marathe M, Vullikanti A, Xiong L. Pandemic Research for Preparedness and Resilience (PREPARE): Building a Research Community for the Next Pandemic. Poster. National Association of County and City Health Officials (NACCHO) Preparedness Summit, 2022 April 1-7.
[62] Chen J, Lewis B, Marathe M, Raymond E, Venkatramanan S. National Data Driven Multi-scale Multi-agent Models for Real-time Pandemic Science. Poster. National Association of County and City Health Officials (NACCHO) Preparedness Summit, 2022 April 1-7.
[61] Wilson M, Xie D, Raymond E, Lewis B, Marathe M. Real-time Interactive Dashboards for Surveillance and Decision Support for Pandemic Response. National Association of County and City Health Officials (NACCHO) Preparedness Summit, 2022 April 1-7.
March 2022
[60] Borchering R, Mullany L, Howerton E, Chinazzi M, Smith C, Qin M, Reich N, Contamin L, Levander J, Kerr J, Espino J, Hochheiser H, Rainwater-Lovett K, Kinsey M, Tallaksen K, Wilson S, Shin L, Lemaitre J, Dent Hulse J, Kaminsky J, Lee E, Perez-Saez J, Davis J, Mu K, Xiong X, Pastore y Piontti A, Vespignani A, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Hurt B, Chen J, Mortveit H, Wilson A, Marathe M, Hoops S, Bhattacharya P, Machi D, Chen S, Paul R, Janies D, Thill J, Galanti M, Yamana T, Pei S, Shaman J, Espana G, Cavany S, Moore S, Perkins A, Healy J, Slayton R, Johansson M, Biggerstaff M, Shea K, Truelove S, Runge M, Viboud C, Lessler J. 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. medRxiv. 2022 Mar 10. Link
February 2022
[59] Qiu Z, Chen C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R, Vullikanti A. Finding Non Trivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. Proceedings of the Thirty-Sixth Annual Conference on Artificial Intelligence (AAAI-22).
[58] Wang L, Adiga A, Chen J, Sadilek A, Venkatramanan S, Marathe M. CausalGNN: Causal-based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. Proceedings of the Thirty-Sixth Annual Conference on Artificial Intelligence (AAAI-22).
January 2022
[57] Adiga A, Athreya S, Marathe M, Midthala J, Rathod N, Sundaresan R, Venkataramanan S, Yasodharan S. Impact of weeknight and weekend curfews using mobility data: a case study of Bengaluru urban. medRxiv. 2022 Jan 28. Link
[56] Rosenkrantz D, Vullikanti A, Ravi SS, Stearns R, Levin S, Poor H, Marathe M. Fundamental limitations on efficiently forecasting certain epidemic measures in network models. Proceedings of the National Academy of Sciences. 2022 Jan 25;119(4). Link
[55] Sambaturu P, Minutoli M, Halappanavar M, Kalyanaraman A, Vullikanti A. Scalable and memory-efficient algorithms for controlling networked epidemic processes using multiplicative weights update method. Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-22). 2022 Jan; 5164-5170. Link
December 2021
[54] Bhattacharya P, Machi D, Chen J, Hoops S, Lewis B, Mortveit H, Venkatramanan S, Wilson M, Marathe A, Porebski P, Klahn B, Outten J, Vullikanti A, Xie D, Adiga A, Brown S, Barrett C, Marathe M. AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021. 1566-1574. Link
[53] Li G, Haddadan A, Li A, Marathe M, Srinivasan A, Vullikanti A, Zhao Z. A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation. arXiv:2112.15547. 2021 Dec 31. Link
[52] Mooij J, Dell’Anna D, Bhattacharya P, Dastani M, Logan B, Swarup S. Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. AMPM 2021: 1st Workshop on Agent-based Modelling and Policy-Making (AMPM), in conjunction with JURIX 2021. 2021 December.
[51] Ritchie J, Whiting M, Chaturapruek S, Zamfirescu-Pereira J, Marathe M, Marathe A, Eubank S, Bernstein M. Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States. Technical Report. arXiv:2112.08279. 2021 Dec 15. Link
November 2021
[50] Bhattacharya P, Chen J, Hoops S, Machi D, Lewis B, Venkatramanan S, Wilson M, Klahn B, Adiga A, Hurt B, Outten J, Adiga A, Warren A, Baek H, Porebski P, Marathe A, Xie D, Swarup S, Vullikanti A, Mortveit H, Eubank S, Barrett C, Marathe M. Data-Driven Scalable Pipeline using National Agent-Based Models for Real-time Pandemic Response and Decision Support. Proceedings of the International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC21). Link Finalist Gordon Bell Special Prize for HPC-Based COVID-19 Research.
[49] Madden G, Bielskas M, Kamruzzaman M, Bhattacharya P, Lewis B, Klein E, Sifri C, Vullikanti A. 173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks. Open Forum Infectious Diseases. 2021 Nov;8(1):S104-S106. US: Oxford University Press. Link
[48] Mubayi A, Ghosh A, Marathe M. Leveraging Diversity and Building Capacity for Sustained Collaboration. SIAM News. 2021 Nov 1. Link
[47] Pilehvari A, Ton J, Mohan M, Marathe A, Vullikanti A. Drivers and Predictors of COVID-19 Vaccine Hesitancy in Virginia. Proceedings of the Computational Social Science Annual Conference. 2021 Nov 4-7. Link
October 2021
[46] Chen J, Vullikanti A, Santos J, Venkatramanan S, Hoops S, Mortveit H, Lewis B, You W, Eubank S, Marathe M, Barrett C, Marathe A. Epidemiological and Economic Impact of COVID-19 in the US. Scientific Reports. 2021 Oct 14;11(1):1-2. Link
[45] Espinoza B, Marathe M, Swarup S, Thakur M. Asymptomatic individuals can increase the final epidemic size under adaptive human behavior. Scientific Reports. 2021 Oct 5;11(1):1-2. Link
[44] Pollett S, Johansson M, Reich N, Brett-Major D, Del Valle S, Venkatramanan S, Lowe R, Porco T, Berry I, Deshpande A, Kraemer M, et al. Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. PLoS medicine. 2021 Oct 19;18(10):e1003793. Link
September 2021
[43] Pilehvari A, You W, Chen J, Krulick J, Venkatramanan S, Marathe A. Differential Impact of Social Distancing on COVID-19 Spread in the US: By Rurality and Social Vulnerability. ResearchSquare. 2021 Sep 14. Link
[42] Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Serghiou S, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie E, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein J, Aguera y Arcas B, Howell M, Hernandez J. Privacy-first health research with federated learning. NPJ digital medicine. 2021 Sep 7;4(1):1-8. Link
[41] Truelove S, Smith C, Qin M, Mullany L, Borchering R, Lessler J, Shea K, Howerton E, Contamin L, Levander J, Salerno J, et al. 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. medRxiv. 2021 Sep 2. Link
August 2021
[40] Adiga A, Wang L, Hurt B, Peddireddy AS, Porebski P, Venkatramanan S, Lewis B, Marathe M. All models are useful: Bayesian ensembling for robust high resolution COVID-19 forecasting. Proceedings of the ACM Annual conference on Knowledge Discovery and Data Mining (KDD2021). Link
[39] Chang S, Wilson M, Lewis B, Mehrab Z, Dudakiya K, Pierson E, Koh P, Gerardin J, Redbird B, Grusky D, Marathe M, Leskovec J (2021) Supporting COVID-19 policy response with large-scale mobility-based modeling. Proceedings of the ACM Annual conference on Knowledge Discovery and Data Mining (KDD2021). Best paper award. Link
July 2021
[38] Giabbanelli P, Badham J, Castellani B, Kavak H, Mago V, Negahban A, Swarup S. Opportunities and challenges in developing Covid-19 simulation models: Lessons from six funded projects. 2021 Annual Modeling and Simulation Conference (ANNSIM). 2021 Jul 19:1-12. Link
[37] Hurt B, Adiga A, Marathe M, Barrett C. Informing University COVID-19 Decision Making Using SEIR Model Forecasting. medRxiv. 2021 Jul 6. Link
[36] Pirolli P, Carley KM, Dalton A, Dorr BJ, Lebiere C, Martin MK, Mather B, Mitsopoulos K, Orr M, Strzalkowski T. Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing. International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation. 2021 Jul 6:46-56. Springer, Cham. Link
[35] Tariq A, Banda JM, Skums P, Dahal S, Castillo-Garsow C, Espinoza B, et al. Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020. PLoS ONE. 2021;16(7):e0254826. Link
May 2021
[34] Adiga A, Athreya S, Lewis B, Marathe M, Rathod N, Sundaresan R, Swarup S, Venkatramanan S, Yasodharan S. Strategies to Mitigate COVID-19 Resurgence Assuming Immunity Waning: A Study for Karnataka, India. medRxiv. 2021 May 29. Link
[33] Bhattacharya P, Mooij J, Dell’Anna D, Dastani M, Logan B, Swarup S. PanSim+ Sim-2APL: a framework for large-scale distributed simulation with complex agents. International Workshop on Engineering Multi-Agent Systems. 2021 May 3-4. Link
[32] Borchering R, Viboud C, Howerton E, Smith C, Truelove S, Runge M, Reich N, Contamin L, Levander J, Salerno J, van Panhuis W, Kinsey M, Tallaksen K, Obrecht R, Asher L, Costello C, Kelbaugh M, Wilson S, Shin L, Gallagher M, Mullany L, Rainwater-Lovett K, Lemaitre J, Dent J, Grantz K, Kaminsky J, Lauer S, Lee E, Meredith H, Perez-Saez J, Keegan L, Karlen D, Chinazzi M, Davis J, Mu K, Xiong X, Pastore Y Piontti A, Vespignani A, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Schlitt J, Corbett P, Telionis P, Wang L, Peddireddy A, Hurt B, Chen J, Vullikanti A, Marathe M, Healy J, Slayton R, Biggerstaff M, Johansson M, Shea K, Lessler J. Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021. 2021 May 14. Link
[31] Kamruzzaman M, Bielskas M, Krishnamoorthy B, Marathe A, Vullikanti A, Kalyanaraman A. Navigating the COVID-19 Data Landscape: Automated Hypothesis Generation using Topological Data Analysis. ResearchSquare. 2021 May 10. Link
[30] Machi D, Bhattacharya P, Hoops S, Chen J, Mortveit H, Venkatramanan S, Lewis B, Wilson M, Fadikar A, Maiden T, Barrett C, Marathe M. Scalable epidemiological workflows to support COVID-19 planning and response. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). 2021 May 17:639-650. Link
[29] Mooij J, Dell’Anna D, Bhattacharya P, Dastani M, Logan B, Swarup S. Quantifying the effects of norms on COVID-19 cases using an agent-based simulation. International Workshop on Multi-Agent Systems and Agent-Based Simulation. 2021 May 3:99-112. Springer, Cham. Link
[28] Rosenkrantz D, Marathe M, Ravi SS, Stearns R. Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms. Proceedings of the AAAI Conference on Artificial Intelligence. 2021 May 18, 35(13):11334-11342. Link
[27] Talekar A, Shriram S, Vaidhiyan N, Aggarwal G, Chen J, Venkatramanan S, Wang L, Adiga A, Sadilek A, Tendulkar A, Marathe M, Sundaresan R, Tambe M. Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. 2021 May 3:1680-1682. Link
April 2021
[26] Bradley E, Marathe M, Moses M, Gropp W, Lopresti D. Pandemic Informatics: Preparation, Robustness, and Resilience; and Vaccine Distribution, Logistics, and Prioritization. arXiv. 2021 Apr 14. Link
[25] Espinoza B, Marathe M, Swarup S, Thakur M. Adaptive human behavior in epidemics: the impact of risk misperception on the spread of epidemics. Research Square preprint. 2021 Apr. Link
February 2021
[24] Chen J, Hoops S, Marathe A, Mortveit H, Lewis B, Venkatramanan S, Haddadan A, Bhattacharya P, Adiga A, Vullikanti A, Wilson M, Ehrlich G, Fenster M, Eubank S, Barrett C, Marathe M. Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness. medRxiv. 2021 Feb 16. Link
[23] Haque A, Thakur M, Bielskas M, Marathe A, Vullikanti A. Persistence of anti-vaccine sentiment in social networks through strategic interactions. Proceedings of the AAAI Conference on Artificial Intelligence. 2021 Feb. Link
January 2021
[22] Perrings C, Espinoza B. Mobility Restrictions and the Control of COVID-19. Ecology, Economy and Society-the INSEE Journal. 2021 Jan 29;4(2354-2021-243):31-43. Link
December 2020
[21] Carscadden H, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D. Blocking the Propagation of Two Simultaneous Contagions over Networks. Proceedings of the International Conference on Complex Networks and Their Applications. 2020 Dec 1:455-468. Springer, Cham. Link
[20] Hoops S, Chen J. Adiga A, Lewis B, Mortveit H, Baek H, Wilson M, Xie D, Swarup S, Venkatramanan S, Barrett C, Crow J, Diskin E, Levin S, Tazelaar H, Rossheim B, Ghaemmaghami C, Price C, Marathe M. High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols. Proceedings of the 2021 Winter Simulation Conference (WSC). Link
[19] Peddireddy AS, Xie D, Patil P, Wilson ML, Machi D, Venkatramanan S, Klahn B, Porebski P, Bhattacharya P, Dumbre S, Raymond E, Marathe M. From 5vs to 6cs: Operationalizing epidemic data management with COVID-19 surveillance. Proceedings of the 2020 IEEE International Conference on Big Data. 2020 Dec 10:1380-1387. Link
[18] Wang L, Adiga A, Venkatramanan S, Chen J, Lewis B, Marathe M. Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. Proceedings of the 2020 IEEE International Conference on Big Data. 2020 Dec 10:3846-3855. Link
[17] Wang L, Ben X, Adiga A, Sadilek A, Tendulkar A, Venkatramanan S, Vullikanti A, Aggarwal G, Talekar A, Chen J, Lewis B, Swarup S, Kapoor A, Tambe M, Marathe M. Using Mobility Data to Understand and Forecast COVID19 Dynamics. medRxiv. 2020 Dec 15. Link
November 2020
[16] Adiga A, Chen J, Marathe M, Mortveit H, Venkatramanan S, Vullikanti A. Data-driven modeling for different stages of pandemic response. Journal of the Indian Institute of Science. 2020 Nov 16:1-5. Link
[15] Mehrab Z, goud Ranga A, Sarkar D, Venkatramanan S, Baek YC, Swarup S, Marathe M. High resolution proximity statistics as early warning for US universities reopening during COVID-19. medRxiv. 2020 Nov 23. Link
October 2020
[14] Adiga A, Dubhashi D, Lewis B, Marathe M, Venkatramanan S, Vullikanti A. Mathematical models for COVID-19 pandemic: a comparative analysis. Journal of the Indian Institute of Science. 2020 Oct 30:1-5. Link
[13] Cadena J, Marathe A, Vullikanti A. Critical spatial clusters for vaccine preventable diseases. International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation 2020 Oct 18:213-223. Springer, Cham. Link
[12] Chen J, Vullikanti A, Hoops S, Mortveit H, Lewis B, Venkatramanan S, You W, Eubank S, Marathe M, Barrett C, Marathe A. Medical costs of keeping the US economy open during COVID-19. Scientific Reports. 2020 Oct 28;10(1):1-0. Link
[11] Pirolli P, Bhatia A, Mitsopoulos K, Lebiere C, Orr M. Cognitive Modeling for Computational Epidemiology. Institute for Human and Machine Cognition. 2684(4722):3. Link
[10] Wu N, Ben X, Green B, Rough K, Venkatramanan S, Marathe M, Eastham P, Sadilek A, O’Banion S. Predicting Onset of COVID-19 with Mobility-Augmented SEIR Model. medRxiv. 2020 Oct 5. Link
August 2020
[9] Adiga A, Wang L, Sadilek A, Tendulkar A, Venkatramanan S, Vullikanti A, Aggarwal G, Talekar A, Ben X, Chen J, Lewis B, Swarup S, Tambe M, Marathe M. Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics. medRxiv. 2020 Aug 24. Link
June 2020
[8] Chen J, Levin S, Eubank S, Mortveit H, Venkatramanan S, Vullikanti A, Marathe M. Networked epidemiology for COVID-19. SIAM News. 2020 Jun 1;53(5). Link
[7] Marathe M. High Performance Simulations to Support Real-time COVID-19 Response. Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. 2020 Jun 15:157. Link
May 2020
[6] Cadena J, Marathe A, Vullikanti A. Finding spatial clusters susceptible to epidemic outbreaks due to undervaccination. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems: AAMAS. International Joint Conference on Autonomous Agents and Multiagent Systems 2020 May:1786. Link
[5] Sambaturu P, Adhikari B, Prakash BA, Venkatramanan S, Vullikanti A. Designing effective and practical interventions to contain epidemics. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 2020 May 5:1187-1195. Link
[4] Swarup S, Mortveit H. Live simulations. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 2020 May 5:1721-1725. Link
April 2020
[3] Eubank S, Eckstrand I, Lewis B, Venkatramanan S, Marathe M, Barrett C. Commentary on Ferguson, et al.,”Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand”. Bulletin of Mathematical Biology. 2020 Apr;82(4):1-7. Link
[2] Wang L, Chen J, Marathe M. TDEFSI: theory-guided deep learning-based epidemic forecasting with synthetic information. ACM Transactions on Spatial Algorithms and Systems (TSAS). 2020 Apr 29;6(3):1-39. Link
March 2020
[1] Adiga A, Venkatramanan S, Schlitt J, Peddireddy A, Telionis A, Dickerman A, Wilson A, Bura A, Warren A, Vullikanti A, Klahn B, Mao C, Xie D, Machi D, Raymond E, Meng F, Barrow G, Mortveit H, Chen J, Walke J, Goldstein J, Wilson ML, Orr M, Porebski P, Telionis P, Beckman R, Hoops S, Eubank S, Baek Y, Lewis B, Marathe M, Barrett C. Evaluating the impact of international airline suspensions on the early global spread of COVID-19. medRxiv. 2020 Mar 2. Link