Srinivasan Venkatramanan

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Madhav MaratheDistinguished Professor, Biocomplexity-Institute and Dept. Computer Science, University of VirginiaZweryfikowany adres z virginia.edu
Bryan LewisBiocomplexity, University of VirginiaZweryfikowany adres z virginia.edu
Jiangzhuo ChenUniversity of VirginiaZweryfikowany adres z virginia.edu
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaZweryfikowany adres z virginia.edu
Aniruddha AdigaResearch Scientist, Biocomplexity Institute and Initiative, UVAZweryfikowany adres z virginia.edu
Stephen EubankProfessor, BioComplexity Institute & Initiative, University of VirginiaZweryfikowany adres z virginia.edu
Henning S MortveitUniversity of Virginia - NSSAC/BII and ESE//SEASZweryfikowany adres z virginia.edu
Christopher L. BarrettBiocomplexity Institute and Initiative, Dept. of Computer Science, University of VirginiaZweryfikowany adres z virginia.edu
Lijing WangAssistant Professor, New Jersey Institute of TechnologyZweryfikowany adres z njit.edu
Achla MaratheProfessor, University of VirginiaZweryfikowany adres z virginia.edu
Stefan HoopsResearch Associate Professor, Biocomplexity Institute & Initiative, University of VirginiaZweryfikowany adres z virginia.edu
Abhijin AdigaBiocomplexity Institute & Initiative, University of VirginiaZweryfikowany adres z virginia.edu
Adam SadilekAIMZweryfikowany adres z machines.run
Dave HigdonVirginia TechZweryfikowany adres z vt.edu
Mandy WilsonUniversity of VirginiaZweryfikowany adres z vt.edu
Samarth SwarupBiocomplexity Institute and Initiative, University of VirginiaZweryfikowany adres z virginia.edu
Parantapa BhattacharyaResearch Scientist, Biocomplexity Institute & Initiative, University of VirginiaZweryfikowany adres z virginia.edu
Dah Ming ChiuDepartment of Information Engineering, the Chinese University of Hong KongZweryfikowany adres z ie.cuhk.edu.hk
Przemyslaw J PorebskiUniversity of VirginiaZweryfikowany adres z virginia.edu
Anurag KumarHonorary Professor, ECE Department, Indian Institute of ScienceZweryfikowany adres z iisc.ac.in

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Srinivasan Venkatramanan

Research Assistant Professor, Biocomplexity Institute, Univ. of Virginia

Zweryfikowany adres z virginia.edu - Strona główna

Computational Epidemiology Complex Networks Data Science Optimization


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Commentary on Ferguson, et al.,“Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand” S Eubank, I Eckstrand, B Lewis, S Venkatramanan, M Marathe, CL Barrett Bulletin of mathematical biology 82, 1-7, 2020	196	2020
Using data-driven agent-based models for forecasting emerging infectious diseases S Venkatramanan, B Lewis, J Chen, D Higdon, A Vullikanti, M Marathe Epidemics 22, 43-49, 2018	178*	2018
Mathematical models for covid-19 pandemic: a comparative analysis A Adiga, D Dubhashi, B Lewis, M Marathe, S Venkatramanan, A Vullikanti Journal of the Indian Institute of Science 100 (4), 793-807, 2020	158	2020
Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering, C Viboud, E Howerton, CP Smith, S Truelove, MC Runge, ... Morbidity and Mortality Weekly Report 70 (19), 719, 2021	134	2021
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints S Venkatramanan, J Chen, A Fadikar, S Gupta, D Higdon, B Lewis, ... PLoS computational biology 15 (9), e1007111, 2019	66*	2019
A framework for evaluating epidemic forecasts FS Tabataba, P Chakraborty, N Ramakrishnan, S Venkatramanan, ... BMC infectious diseases 17, 1-27, 2017	60	2017
Epidemiological and economic impact of COVID-19 in the US J Chen, A Vullikanti, J Santos, S Venkatramanan, S Hoops, H Mortveit, ... Scientific reports 11 (1), 20451, 2021	57	2021
The united states covid-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022	56	2022
Evaluating the impact of international airline suspensions on the early global spread of COVID-19 A Adiga, S Venkatramanan, J Schlitt, A Peddireddy, A Dickerman, A Bura, ... Medrxiv, 2020	51*	2020
Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness J Chen, S Hoops, A Marathe, H Mortveit, B Lewis, S Venkatramanan, ... MedRxiv, 2021.02. 04.21251012, 2021	48	2021
Calibrating a stochastic, agent-based model using quantile-based emulation A Fadikar, D Higdon, J Chen, B Lewis, S Venkatramanan, M Marathe SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1685-1706, 2018	48	2018
Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines S Pollett, MA Johansson, NG Reich, D Brett-Major, SY Del Valle, ... PLoS medicine 18 (10), e1003793, 2021	38	2021
Forecasting influenza activity using machine-learned mobility map S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ... Nature communications 12 (1), 726, 2021	38	2021
Medical costs of keeping the US economy open during COVID-19 J Chen, A Vullikanti, S Hoops, H Mortveit, B Lewis, S Venkatramanan, ... Scientific reports 10 (1), 18422, 2020	35	2020
Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022	32	2022
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 S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ... Elife 11, e73584, 2022	28	2022
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023	27	2023
Research collaboration and topic trends in Computer Science based on top active authors Y Wu, S Venkatramanan, DM Chiu PeerJ Computer Science 2, e41, 2016	24*	2016
Competition over timeline in social networks E Altman, P Kumar, S Venkatramanan, A Kumar Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013	24	2013
All models are useful: Bayesian ensembling for robust high resolution covid-19 forecasting A Adiga, L Wang, B Hurt, A Peddireddy, P Porebski, S Venkatramanan, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	23	2021

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