Lauren A. Castro

According to our database, Lauren A. Castro authored at least 7 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Transfer Learning using 66 Diseases for Disease Forecasting Applications.

Lauren J. Beesley, Alexander C. Murph, Dave Osthus, Lauren A. Castro

CoRR, May, 2026

2025

Synthetic method of analogues for emerging infectious disease forecasting.

Alexander C. Murph, Graham Casey Gibson, Elizabeth B. Amona, Lauren J. Beesley, Lauren A. Castro, Sara Y. Del Valle, Dave Osthus

PLoS Comput. Biol., 2025

2024

Challenges of COVID-19 Case Forecasting in the US, 2020-2021.

Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson

PLoS Comput. Biol., 2024

2023

Advancing Sea Ice Classification Capabilities in SAR Imagery Via Polarimetric Analysis and Machine Learning.

Elena C. Reinisch, Lauren A. Castro, Amber Whelsky

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2020

Early prediction of antigenic transitions for influenza A/H3N2.

Lauren A. Castro, Trevor Bedford, Lauren Ancel Meyers

PLoS Comput. Biol., 2020

2015

Enhancing disease surveillance with novel data streams: challenges and opportunities.

Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren A. Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski

EPJ Data Sci., 2015

The Surveillance Window Application (SWAP): A Web-Hosted Tool to Facilitate Situational Awareness during Outbreaks.

Alina Deshpande, Esteban Abeyta, Lauren A. Castro, Ashlynn R. Daughton, Geoffrey Fairchild, Nicholas Generous, Reid Priedhorsky, Kirsten Taylor-McCabe, Nileena Velappan

Proceedings of the World Wide Web and Public Health Intelligence, 2015