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Madhav Marathe

Professor

Education

Affiliations

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Papers

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)

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

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)

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)

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)

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)

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)

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)

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)

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

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

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)

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)

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)

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)

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)