Madhav Marathe






Adiga Aniruddha, Venkatramanan Srinivasan, Peddireddy Akhil, Telionis Alex, Dickerman Allan, Wilson Amanda, Bura Andrei, Warren Andrew, Vullikanti Anil, Klahn Brian D, Mao Chunhong, Xie Dawen, Machi Dustin, Raymond Erin, Meng Fanchao, Barrow Golda, Baek Hannah, Mortveit Henning, Schlitt James, Chen Jiangzhuo, Walke Jim, Goldstein Joshua, Orr Mark, Porebski Przemyslaw, Beckman Richard, Kenyon Ron, Swarup Samarth, Hoops Stefan, Eubank Stephen, Lewis Bryan, Marathe Madhav, Barrett Chris. (2020). Evaluating the impact of international airline suspensions on COVID-19 direct importation risk. Cold Spring Harbor Laboratory Press

Venkatramanan S, Chen J, Fadikar A, Gupta S, Higdon D, Lewis B, Marathe M, Mortveit H, Vullikanti A. (2019). Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS computational biology, 15(9)

Rangarajan P, Mody SK, Marathe M. (2019). Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data. PLoS computational biology, 15(11)

Thorve S, Wilson ML, Lewis BL, Swarup S, Vullikanti AKS, Marathe MV. (2018). EpiViewer: an epidemiological application for exploring time series data. BMC Bioinformatics, 19(1)

Adiga A, Chu S, Eubank S, Kuhlman CJ, Lewis B, Marathe A, Marathe M, Nordberg EK, Swarup S, Vullikanti A, Wilson ML. (2018). Disparities in spread and control of influenza in slums of Delhi: findings from an agent-based modelling study. BMJ open, 8(1)

Chen J, Marathe A, Marathe M. (2018). Feedback Between Behavioral Adaptations and Disease Dynamics. Scientific reports, 8(1)

Chakraborty P, Lewis B, Eubank S, Brownstein JS, Marathe M, Ramakrishnan N. (2018). What to know before forecasting the flu. PLoS computational biology, 14(10)

Tabataba FS, Chakraborty P, Ramakrishnan N, Venkatramanan S, Chen J, Lewis B, Marathe M. (2017). A framework for evaluating epidemic forecasts. BMC infectious diseases, 17(1)

Venkatramanan S, Lewis B, Chen J, Higdon D, Vullikanti A, Marathe M. (2018). Using data-driven agent-based models for forecasting emerging infectious diseases. Epidemics, (22)

Bhuiyan H, Khan M, Chen J, Marathe M. (2017). Parallel Algorithms for Switching Edges in Heterogeneous Graphs. Journal of parallel and distributed computing, (104)

Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q. (2017). Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR public health and surveillance, 3(4)

Parikh N, Marathe M, Swarup S. (2016). Summarizing Simulation Results using Causally-relevant States. Multi-agent-based simulation ... : International Workshop, MABS ... : revised and invited papers. International Symposium on Military Applications of Blast Simulation, (10003)

Parikh N, Hayatnagarkar HG, Beckman RJ, Marathe MV, Swarup S. (2016). A comparison of multiple behavior models in a simulation of the aftermath of an improvised nuclear detonation. Autonomous agents and multi-agent systems, 30(6)

Elmeligy Abdelhamid SH, Kuhlman CJ, Marathe MV, Mortveit HS, Ravi SS. (2015). GDSCalc: A Web-Based Application for Evaluating Discrete Graph Dynamical Systems. PloS one, 10(8)

Xia H, Nagaraj K, Chen J, Marathe MV. (2015). Synthesis of a high resolution social contact network for Delhi with application to pandemic planning. Artificial intelligence in medicine, 65(2)

Alam M, Deng X, Philipson C, Bassaganya-Riera J, Bisset K, Carbo A, Eubank S, Hontecillas R, Hoops S, Mei Y, Abedi V, Marathe M. (2015). Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection. PLoS One, 10(9)

Kuhlman CJ, Anil Kumar VS, Marathe MV, Ravi SS, Rosenkrantz DJ. (2015). Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results. Data mining and knowledge discovery, 29(2)

Deodhar S, Bisset K, Chen J, Barrett C, Wilson M, Marathe M. (2015). EpiCaster: An Integrated Web Application For Situation Assessment and Forecasting of Global Epidemics. ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, (2015)

Lofgren ET, Halloran ME, Rivers CM, Drake JM, Porco TC, Lewis B, Yang W, Vespignani A, Shaman J, Eisenberg JN, Eisenberg MC, Marathe M, Scarpino SV, Alexander KA, Meza R, Ferrari MJ, Hyman JM, Meyers LA, Eubank S. (2014). Opinion: Mathematical models: a key tool for outbreak response. Proceedings of the National Academy of Sciences of the United States of America, 111(51)

Nsoesie EO, Leman SC, Marathe MV. (2014). A Dirichlet process model for classifying and forecasting epidemic curves. BMC infectious diseases, (14)

Nsoesie EO, Mekaru SR, Ramakrishnan N, Marathe MV, Brownstein JS. (2014). Modeling to predict cases of hantavirus pulmonary syndrome in Chile. PLoS neglected tropical diseases, 8(4)

Rivers CM, Lofgren ET, Marathe M, Eubank S, Lewis BL. (2014). Modeling the impact of interventions on an epidemic of ebola in sierra leone and liberia. PLoS currents, (6)

Bisset KR, Chen J, Deodhar S, Feng X, Ma Y, Marathe MV. (2014). Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling. ACM transactions on modeling and computer simulation : a publication of the Association for Computing Machinery, 24(1)

Deodhar S, Bisset KR, Chen J, Ma Y, Marathe MV. (2014). An Interactive, Web-based High Performance Modeling Environment for Computational Epidemiology. ACM transactions on management information systems, 5(2)

Nsoesie EO, Brownstein JS, Ramakrishnan N, Marathe MV. (2014). A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza and other respiratory viruses, 8(3)

Nsoesie EO, Beckman RJ, Shashaani S, Nagaraj KS, Marathe MV. (2013). A Simulation Optimization Approach to Epidemic Forecasting. PLoS One, 8(6)

Lewis B, Swarup S, Bisset K, Eubank S, Marathe M, Barrett C. A simulation environment for the dynamic evaluation of disaster preparedness policies and interventions. Journal of public health management and practice : JPHMP, (19 Suppl 2)

Marathe M, Ramakrishnan N. (2013). Recent Advances in Computational Epidemiology. IEEE intelligent systems, 28(4)

Barrett C, Bisset K, Chandan S, Chen J, Chungbaek Y, Eubank S, Evrenosoğlu Y, Lewis B, Lum K, Marathe A, Marathe M, Mortveit H, Parikh N, Phadke A, Reed J, Rivers C, Saha S, Stretz P, Swarup S, Thorp J, Vullikanti A, Xie D. . Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference, (2013)

Barrett C, Channakeshava K, Huang F, Kim J, Marathe A, Marathe MV, Pei G, Saha S, Subbiah BS, Vullikanti AK. (2012). Human initiated cascading failures in societal infrastructures. PloS one, 7(10)

Nsoesie EO, Beckman RJ, Marathe MV. (2012). Sensitivity analysis of an individual-based model for simulation of influenza epidemics. PLoS One, 7(10)

Barrett CL, Eubank S, Marathe A, Marathe MV, Pan Z, Swarup S. Information Integration to Support Model-Based Policy Informatics. The innovation journal : the public sector innovation journal, 16(1)

Bisset KR, Aji AM, Marathe MV, Feng WC. (2012). High-performance biocomputing for simulating the spread of contagion over large contact networks. BMC genomics, (13 Suppl 2)

Alexander KA, Lewis BL, Marathe M, Eubank S, Blackburn JK. (2012). Modeling of wildlife-associated zoonoses: applications and caveats. Vector borne and zoonotic diseases (Larchmont, N.Y.), 12(12)

Wendelsdorf KV, Alam M, Bassaganya-Riera J, Bisset K, Eubank S, Hontecillas R, Hoops S, Marathe M. (2012). ENteric Immunity SImulator: a tool for in silico study of gastroenteric infections. IEEE transactions on nanobioscience, 11(3)

Barrett C, Bisset K, Leidig J, Marathe A, Marathe M. (2011). Economic and social impact of influenza mitigation strategies by demographic class. Epidemics, 3(1)

Marathe A, Lewis B, Barrett C, Chen J, Marathe M, Eubank S, Ma Y. (2011). Comparing effectiveness of top-down and bottom-up strategies in containing influenza. PLoS One, 6(9)

Nsoesie EO, Beckman R, Marathe M, Lewis B. (2011). Prediction of an Epidemic Curve: A Supervised Classification Approach. Statistical communications in infectious diseases, 3(1)

Barrett CL, Channakeshava K, Eubank S, Anil Kumar VS, Marathe MV. (2011). From biological and social network metaphors to coupled bio-social wireless networks. International journal of autonomous and adaptive communications systems, 4(2)

Eubank S, Barrett C, Beckman R, Bisset K, Durbeck L, Kuhlman C, Lewis B, Marathe A, Marathe M, Stretz P. (2010). Detail in network models of epidemiology: are we there yet?. Journal of biological dynamics, 4(5)

Atkins K, Barrett CL, Beckman R, Bisset K, Chen J, Eubank S, Feng A, Feng X, Harris SD, Lewis B, Kumar VS, Marathe MV, Marathe A, Mortveit H, Stretz P. (2008). An Interaction Based Composable Architecture for Building Scalable Models of Large Social, Biological, Information and Technical Systems. CTWatch quarterly : cyberinfrastructure technology watch, 4(1)

Eubank S, Guclu H, Kumar VS, Marathe MV, Srinivasan A, Toroczkai Z, Wang N. (2004). Modelling disease outbreaks in realistic urban social networks. Nature, 429(6988)