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

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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 by Truelove, Shaun, Smith, Claire P, Qin, Michelle, Mullany, Luke C, Borchering, Rebecca K, Lessler, Justin, Shea, Katriona, Howerton, Emily, Contamin, Lucie, Levander, John, Kerr, Jessica, Hochheiser, Harry, Kinsey, Matt, Tallaksen, Kate, Wilson, Shelby, Shin, Lauren, Rainwater-Lovett, Kaitlin, Lemairtre, Joseph C, Dent, Juan, Kaminsky, Joshua, Lee, Elizabeth C, Perez-Saez, Javier, Hill, Alison, Karlen, Dean, Chinazzi, Matteo, Davis, Jessica T, Mu, Kunpeng, Xiong, Xinyue, Pastore Y Piontti, Ana, Vespignani, Alessandro, Srivastava, Ajitesh, Porebski, Przemyslaw, Venkatramanan, Srinivasan, Adiga, Aniruddha, Lewis, Bryan, Klahn, Brian, Outten, Joseph, Orr, Mark, Harrison, Galen, Hurt, Benjamin, Chen, Jiangzhuo, Vullikanti, Anil, Marathe, Madhav, Hoops, Stefan, Bhattacharya, Parantapa, Machi, Dustin, Chen, Shi, Paul, Rajib, Janies, Daniel, Thill, Jean-Claude, Galanti, Marta, Yamana, Teresa K, Pei, Sen, Shaman, Jeffrey L, Healy, Jessica M, Slayton, Rachel B, Biggerstaff, Matthew, Johansson, Michael A, Runge, Michael C, Viboud, Cecile

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Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support by 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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Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics by De, Abir, Bhattacharya, Sourangshu, Bhattacharya, Parantapa, Ganguly, Niloy, Chakrabarti, Soumen

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A framework for modeling human behavior in large-scale agent-based epidemic simulations by de Mooij, Jan, Bhattacharya, Parantapa, Dell’Anna, Davide, Dastani, Mehdi, Logan, Brian, Swarup, Samarth

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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 by 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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Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty by 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, Jr, 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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Deepfake Text Detection: Limitations and Opportunities by Pu, Jiameng, Sarwar, Zain, Abdullah, Sifat Muhammad, Rehman, Abdullah, Kim, Yoonjin, Bhattacharya, Parantapa, Javed, Mobin, Viswanath, Bimal

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Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study by Kamruzzaman, Methun, Heavey, Jack, Song, Alexander, Bielskas, Matthew, Bhattacharya, Parantapa, Madden, Gregory, Klein, Eili, Deng, Xinwei, Vullikanti, Anil

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Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub by Jung, Sung-Mok, Loo, Sara L, Howerton, Emily, Contamin, Lucie, Smith, Claire P, Carcelén, Erica C, Yan, Katie, Bents, Samantha J, Levander, John, Espino, Jessi, Lemaitre, Joseph C, Sato, Koji, McKee, Clifton D, Hill, Alison L, Chinazzi, Matteo, Davis, Jessica T, Mu, Kunpeng, Vespignani, Alessandro, Rosenstrom, Erik T, Rodriguez-Cartes, Sebastian A, Ivy, Julie S, Mayorga, Maria E, Swann, Julie L, España, Guido, Cavany, Sean, Moore, Sean M, Perkins, T Alex, Chen, Shi, Paul, Rajib, Janies, Daniel, Thill, Jean-Claude, Srivastava, Ajitesh, Aawar, Majd Al, Bi, Kaiming, Bandekar, Shraddha Ramdas, Bouchnita, Anass, Fox, Spencer J, Meyers, Lauren Ancel, Porebski, Przemyslaw, Venkatramanan, Srini, Adiga, Aniruddha, Hurt, Benjamin, Klahn, Brian, Outten, Joseph, Chen, Jiangzhuo, Mortveit, Henning, Wilson, Amanda, Hoops, Stefan, Bhattacharya, Parantapa, Machi, Dustin, Vullikanti, Anil, Lewis, Bryan, Marathe, Madhav, Hochheiser, Harry, Runge, Michael C, Shea, Katriona, Truelove, Shaun, Viboud, Cécile, Lessler, Justin

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173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks by Madden, Gregory, Bielskas, Matthew, Kamruzzaman, Methun, Bhattacharya, Parantapa, Lewis, Bryan, Klein, Eili, Sifri, Costi, Vullikanti, Anil

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Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream by Zafar, Muhammad Bilal, Bhattacharya, Parantapa, Ganguly, Niloy, Gummadi, Krishna P., Ghosh, Saptarshi

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An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study by Sambaturu, Prathyush, Bhattacharya, Parantapa, Chen, Jiangzhuo, Lewis, Bryan, Marathe, Madhav, Venkatramanan, Srinivasan, Vullikanti, Anil

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Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: a multi-model... by Borchering, Rebecca K., Mullany, Luke C., Howerton, Emily, Chinazzi, Matteo, Smith, Claire P., Qin, Michelle, Reich, Nicholas G., Contamin, Lucie, Levander, John, Kerr, Jessica, Espino, J., Hochheiser, Harry, Lovett, Kaitlin, Kinsey, Matt, Tallaksen, Kate, Wilson, Shelby, Shin, Lauren, Lemaitre, Joseph C., Hulse, Juan Dent, Kaminsky, Joshua, Lee, Elizabeth C., Hill, Alison L., Davis, Jessica T., Mu, Kunpeng, Xiong, Xinyue, Pastore y Piontti, Ana, Vespignani, Alessandro, 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, Chen, Shi, Paul, Rajib, Janies, Daniel, Thill, Jean-Claude, Galanti, Marta, Yamana, Teresa, Pei, Sen, Shaman, Jeffrey, España, Guido, Cavany, Sean, Moore, Sean, Perkins, Alex, Healy, Jessica M., Slayton, Rachel B., Johansson, Michael A., Biggerstaff, Matthew, Shea, Katriona, Truelove, Shaun A., Runge, Michael C., Viboud, Cécile, Lessler, Justin

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Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: a multi-model... by Rebecca K. Borchering, Luke C. Mullany, Emily Howerton, Matteo Chinazzi, Claire P. Smith, Michelle Qin, Nicholas G. Reich, Lucie Contamin, John Levander, Jessica Kerr, J. Espino, Harry Hochheiser, Kaitlin Lovett, Matt Kinsey, Kate Tallaksen, Shelby Wilson, Lauren Shin, Joseph C. Lemaitre, Juan Dent Hulse, Joshua Kaminsky, Elizabeth C. Lee, Alison L. Hill, Jessica T. Davis, Kunpeng Mu, Xinyue Xiong, Ana Pastore y Piontti, Alessandro Vespignani, Ajitesh Srivastava, Przemyslaw Porebski, Srini Venkatramanan, Aniruddha Adiga, Bryan Lewis, Brian Klahn, Joseph Outten, Benjamin Hurt, Jiangzhuo Chen, Henning Mortveit, Amanda Wilson, Madhav Marathe, Stefan Hoops, Parantapa Bhattacharya, Dustin Machi, Shi Chen, Rajib Paul, Daniel Janies, Jean-Claude Thill, Marta Galanti, Teresa Yamana, Sen Pei, Jeffrey Shaman, Guido España, Sean Cavany, Sean Moore, Alex Perkins, Jessica M. Healy, Rachel B. Slayton, Michael A. Johansson, Matthew Biggerstaff, Katriona Shea, Shaun A. Truelove, Michael C. Runge, Cécile Viboud, Justin Lessler

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Scalable Epidemiological Workflows to Support COVID-19 Planning and Response by Machi, Dustin, Bhattacharya, Parantapa, Hoops, Stefan, Chen, Jiangzhuo, Mortveit, Henning, Venkatramanan, Srinivasan, Lewis, Bryan, Wilson, Mandy, Fadikar, Arindam, Maiden, Tom, Barrett, Christopher L., Marathe, Madhav V.

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