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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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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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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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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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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COVID's collateral damage: likelihood of measles resurgence in the United States von Thakur, Mugdha, Zhou, Richard, Mohan, Mukundan, Marathe, Achla, Chen, Jiangzhuo, Hoops, Stefan, Machi, Dustin, Lewis, Bryan, Vullikanti, Anil

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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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Sensitivity of household transmission to household contact structure and size von Marathe, Achla, Lewis, Bryan, Chen, Jiangzhuo, Eubank, Stephen

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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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Comparing effectiveness of top-down and bottom-up strategies in containing influenza von Marathe, Achla, Lewis, Bryan, Barrett, Christopher, Chen, Jiangzhuo, Marathe, Madhav, Eubank, Stephen, Ma, Yifei

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Feedback Between Behavioral Adaptations and Disease Dynamics von Chen, Jiangzhuo, Marathe, Achla, Marathe, Madhav

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TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information von Wang, Lijing, Chen, Jiangzhuo, Marathe, Madhav

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(Almost) tight bounds and existence theorems for single-commodity confluent flows von JIANGZHUO CHEN, KLEINBERG, Robert D, LOVASZ, Laszlo, RAJARAMAN, Rajmohan, SUNDARAM, Ravi, VETTA, Adrian

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A framework for discovering health disparities among cohorts in an influenza epidemic von Wang, Lijing, Chen, Jiangzhuo, Marathe, Achla

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Understanding the coevolution of mask wearing and epidemics: A network perspective von Qiu, Zirou, Espinoza, Baltazar, Vasconcelos, Vitor V, Chen, Chen, Constantino, Sara M, Crabtree, Stefani A, Yang, Luojun, Vullikanti, Anil, Chen, Jiangzhuo, Weibull, Jörgen, Basu, Kaushik, Dixit, Avinash, Levin, Simon A, Marathe, Madhav V

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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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Parallel algorithms for switching edges in heterogeneous graphs von Bhuiyan, Hasanuzzaman, Khan, Maleq, Chen, Jiangzhuo, Marathe, Madhav

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Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty von Howerton, Emily, Contamin, Lucie, Mullany, Luke C., Qin, Michelle, Reich, Nicholas G., Bents, Samantha, Borchering, Rebecca K., Jung, Sung-mok, Loo, Sara L., Smith, Claire P., Levander, John, Kerr, Jessica, Espino, J., van Panhuis, Willem G., Hochheiser, Harry, Galanti, Marta, Yamana, Teresa, Pei, Sen, Shaman, Jeffrey, Rainwater-Lovett, Kaitlin, Kinsey, Matt, Tallaksen, Kate, Wilson, Shelby, Shin, Lauren, Lemaitre, Joseph C., Kaminsky, Joshua, Hulse, Juan Dent, Lee, Elizabeth C., McKee, Clifton D., Hill, Alison, Karlen, Dean, Chinazzi, Matteo, Davis, Jessica T., Mu, Kunpeng, Xiong, Xinyue, Pastore y Piontti, Ana, Vespignani, Alessandro, Rosenstrom, Erik T., Ivy, Julie S., Mayorga, Maria E., Swann, Julie L., España, Guido, Cavany, Sean, Moore, Sean, Perkins, Alex, Hladish, Thomas, Pillai, Alexander, Ben Toh, Kok, Longini, Ira, Chen, Shi, Paul, Rajib, Janies, Daniel, Thill, Jean-Claude, Bouchnita, Anass, Bi, Kaiming, Lachmann, Michael, Fox, Spencer J., Meyers, Lauren Ancel, Srivastava, Ajitesh, Porebski, Przemyslaw, Venkatramanan, Srini, Adiga, Aniruddha, Lewis, Bryan, Klahn, Brian, Outten, Joseph, Hurt, Benjamin, Chen, Jiangzhuo, Mortveit, Henning, Wilson, Amanda, Marathe, Madhav, Hoops, Stefan, Bhattacharya, Parantapa, Machi, Dustin, Cadwell, Betsy L., Healy, Jessica M., Slayton, Rachel B., Johansson, Michael A., Biggerstaff, Matthew, Truelove, Shaun, Runge, Michael C., Shea, Katriona, Viboud, Cécile, Lessler, Justin

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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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Online flu epidemiological deep modeling on disease contact network von Zhao, Liang, Chen, Jiangzhuo, Chen, Feng, Jin, Fang, Wang, Wei, Lu, Chang-Tien, Ramakrishnan, Naren

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