Epidemiological and economic impact of COVID-19 in the US von Chen, Jiangzhuo, Vullikanti, Anil, Santos, Joost, Venkatramanan, Srinivasan, Hoops, Stefan, Mortveit, Henning, Lewis, Bryan, You, Wen, Eubank, Stephen, Marathe, Madhav, Barrett, Chris, Marathe, Achla

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Forecasting influenza activity using machine-learned mobility map von Venkatramanan, Srinivasan, Sadilek, Adam, Fadikar, Arindam, Barrett, Christopher L., Biggerstaff, Matthew, Chen, Jiangzhuo, Dotiwalla, Xerxes, Eastham, Paul, Gipson, Bryant, Higdon, Dave, Kucuktunc, Onur, Lieber, Allison, Lewis, Bryan L., Reynolds, Zane, Vullikanti, Anil K., Wang, Lijing, Marathe, Madhav

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Using Data-driven Agent-based models for Forecasting Emerging Infectious Diseases von Venkatramanan, Srinivasan, Lewis, Bryan, Chen, Jiangzhuo, Higdon, Dave, Vullikanti, Anil, Marathe, Madhav

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Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints von Venkatramanan, Srinivasan, Chen, Jiangzhuo, Fadikar, Arindam, Gupta, Sandeep, Higdon, Dave, Lewis, Bryan, Marathe, Madhav, Mortveit, Henning, Vullikanti, Anil

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Medical costs of keeping the US economy open during COVID-19 von Chen, Jiangzhuo, Vullikanti, Anil, Hoops, Stefan, Mortveit, Henning, Lewis, Bryan, Venkatramanan, Srinivasan, You, Wen, Eubank, Stephen, Marathe, Madhav, Barrett, Chris, Marathe, Achla

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A Population Model for Academia: Case Study of the Computer Science Community Using DBLP Bibliography 1960-2016 von Wu, Yan, Venkatramanan, Srinivasan, Chiu, Dah Ming

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A framework for evaluating epidemic forecasts von Tabataba, Farzaneh Sadat, Chakraborty, Prithwish, Ramakrishnan, Naren, Venkatramanan, Srinivasan, Chen, Jiangzhuo, Lewis, Bryan, Marathe, Madhav

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Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub von Chen, Jiangzhuo, Bhattacharya, Parantapa, Hoops, Stefan, Machi, Dustin, Adiga, Abhijin, Mortveit, Henning, Venkatramanan, Srinivasan, Lewis, Bryan, Marathe, Madhav

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Predicting the Current and Future Distribution of the Invasive Weed Ageratina adenophora in the Chitwan–Annapurna Landscape, Nepal von Poudel, Anju Sharma, Shrestha, Bharat Babu, Joshi, Mohan Dev, Muniappan, Rangaswamy, Adiga, Abhijin, Venkatramanan, Srinivasan, Jha, Pramod Kumar

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Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support von Bhattacharya, Parantapa, Chen, Jiangzhuo, Hoops, Stefan, Machi, Dustin, Lewis, Bryan, Venkatramanan, Srinivasan, Wilson, Mandy L., Klahn, Brian, Adiga, Aniruddha, Hurt, Benjamin, Outten, Joseph, Adiga, Abhijin, Warren, Andrew, Baek, Young Yun, Porebski, Przemyslaw, Marathe, Achla, Xie, Dawen, Swarup, Samarth, Vullikanti, Anil, Mortveit, Henning, Eubank, Stephen, Barrett, Christopher L., Marathe, Madhav

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Preface: COVID-19 Scenario Modeling Hubs von Loo, Sara L., Chinazzi, Matteo, Srivastava, Ajitesh, Venkatramanan, Srinivasan, Truelove, Shaun, Viboud, Cecile

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Wastewater-based epidemiology for COVID-19 surveillance and beyond: A survey von Chen, Chen, Wang, Yunfan, Kaur, Gursharn, Adiga, Aniruddha, Espinoza, Baltazar, Venkatramanan, Srinivasan, Warren, Andrew, Lewis, Bryan, Crow, Justin, Singh, Rekha, Lorentz, Alexandra, Toney, Denise, Marathe, Madhav

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Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections von Porebski, Przemyslaw, Venkatramanan, Srinivasan, Adiga, Aniruddha, Klahn, Brian, Hurt, Benjamin, Wilson, Mandy L., Chen, Jiangzhuo, Vullikanti, Anil, Marathe, Madhav, Lewis, Bryan

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Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design von Runge, Michael C., Shea, Katriona, Howerton, Emily, Yan, Katie, Hochheiser, Harry, Rosenstrom, Erik, Probert, William J.M., Borchering, Rebecca, Marathe, Madhav V., Lewis, Bryan, Venkatramanan, Srinivasan, Truelove, Shaun, Lessler, Justin, Viboud, Cécile

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Research collaboration and topic trends in Computer Science based on top active authors von Wu, Yan, Venkatramanan, Srinivasan, Chiu, Dah Ming

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Mathematical Models for COVID-19 Pandemic: A Comparative Analysis von Adiga, Aniruddha, Dubhashi, Devdatt, Lewis, Bryan, Marathe, Madhav, Venkatramanan, Srinivasan, Vullikanti, Anil

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Mach number variation in subsonic co-flowing jets von Radakrishnan, Naren Shankar, Ganesan, Thirupathi, Kalaivanan, Pillai, Syam Narayanan Somasekharan, Srinivasan, Venkatramanan, Desai, Ashvini Purushottum

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Data-Driven Modeling for Different Stages of Pandemic Response von Adiga, Aniruddha, Chen, Jiangzhuo, Marathe, Madhav, Mortveit, Henning, Venkatramanan, Srinivasan, Vullikanti, Anil

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Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions von Espinoza, Baltazar, Adiga, Aniruddha, Venkatramanan, Srinivasan, Warren, Andrew Scott, Chen, Jiangzhuo, Lewis, Bryan Leroy, Vullikanti, Anil, Swarup, Samarth, Moon, Sifat, Barrett, Christopher Louis, Athreya, Siva, Sundaresan, Rajesh, Chandru, Vijay, Laxminarayan, Ramanan, Schaffer, Benjamin, Poor, H Vincent, Levin, Simon A, Marathe, Madhav V

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Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread von Bhattacharya, Parantapa, Machi, Dustin, Chen, Jiangzhuo, Hoops, Stefan, Lewis, Bryan, Mortveit, Henning, Venkatramanan, Srinivasan, Wilson, Mandy L., Marathe, Achla, Porebski, Przemyslaw, Klahn, Brian, Outten, Joseph, Vullikanti, Anil, Xie, Dawen, Adiga, Abhijin, Brown, Shawn, Barrett, Christopher, Marathe, Madhav

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