Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Evan L Ray"'
Autor:
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 C 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 Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T Davis, Kunpeng Mu, Ana 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 Marathe, Akhil Sai Peddireddy, Przemyslaw 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
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5, p e1011200 (2024)
During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies
Externí odkaz:
https://doaj.org/article/d7c7eeeba3c3436d9f9bb67e5878ebf7
Autor:
Katharine Sherratt, Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse, Frank Sandmann, Jannik Deuschel, Daniel Wolffram, Sam Abbott, Alexander Ullrich, Graham Gibson, Evan L Ray, Nicholas G Reich, Daniel Sheldon, Yijin Wang, Nutcha Wattanachit, Lijing Wang, Jan Trnka, Guillaume Obozinski, Tao Sun, Dorina Thanou, Loic Pottier, Ekaterina Krymova, Jan H Meinke, Maria Vittoria Barbarossa, Neele Leithauser, Jan Mohring, Johanna Schneider, Jaroslaw Wlazlo, Jan Fuhrmann, Berit Lange, Isti Rodiah, Prasith Baccam, Heidi Gurung, Steven Stage, Bradley Suchoski, Jozef Budzinski, Robert Walraven, Inmaculada Villanueva, Vit Tucek, Martin Smid, Milan Zajicek, Cesar Perez Alvarez, Borja Reina, Nikos I Bosse, Sophie R Meakin, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Pierfrancesco Alaimo Di Loro, Antonello Maruotti, Veronika Eclerova, Andrea Kraus, David Kraus, Lenka Pribylova, Bertsimas Dimitris, Michael Lingzhi Li, Soni Saksham, Jonas Dehning, Sebastian Mohr, Viola Priesemann, Grzegorz Redlarski, Benjamin Bejar, Giovanni Ardenghi, Nicola Parolini, Giovanni Ziarelli, Wolfgang Bock, Stefan Heyder, Thomas Hotz, David E Singh, Miguel Guzman-Merino, Jose L Aznarte, David Morina, Sergio Alonso, Enric Alvarez, Daniel Lopez, Clara Prats, Jan Pablo Burgard, Arne Rodloff, Tom Zimmermann, Alexander Kuhlmann, Janez Zibert, Fulvia Pennoni, Fabio Divino, Marti Catala, Gianfranco Lovison, Paolo Giudici, Barbara Tarantino, Francesco Bartolucci, Giovanna Jona Lasinio, Marco Mingione, Alessio Farcomeni, Ajitesh Srivastava, Pablo Montero-Manso, Aniruddha Adiga, Benjamin Hurt, Bryan Lewis, Madhav Marathe, Przemyslaw Porebski, Srinivasan Venkatramanan, Rafal P Bartczuk, Filip Dreger, Anna Gambin, Krzysztof Gogolewski, Magdalena Gruziel-Slomka, Bartosz Krupa, Antoni Moszyński, Karol Niedzielewski, Jedrzej Nowosielski, Maciej Radwan, Franciszek Rakowski, Marcin Semeniuk, Ewa Szczurek, Jakub Zielinski, Jan Kisielewski, Barbara Pabjan, Kirsten Holger, Yuri Kheifetz, Markus Scholz, Biecek Przemyslaw, Marcin Bodych, Maciej Filinski, Radoslaw Idzikowski, Tyll Krueger, Tomasz Ozanski, Johannes Bracher, Sebastian Funk
Publikováno v:
eLife, Vol 12 (2023)
Background: Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predi
Externí odkaz:
https://doaj.org/article/26d25f44b203488cba00565db28416bb
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 10, p e1010592 (2022)
[This corrects the article DOI: 10.1371/journal.pcbi.1008618.].
Externí odkaz:
https://doaj.org/article/aad74f67f3a24e4d9847f11b18eb4f2b
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008618 (2021)
For practical reasons, many forecasts of case, hospitalization, and death counts in the context of the current Coronavirus Disease 2019 (COVID-19) pandemic are issued in the form of central predictive intervals at various levels. This is also the cas
Externí odkaz:
https://doaj.org/article/ca7ae5c7d221495d83bd6ed87855f369
Autor:
Nicholas G Reich, Craig J McGowan, Teresa K Yamana, Abhinav Tushar, Evan L Ray, Dave Osthus, Sasikiran Kandula, Logan C Brooks, Willow Crawford-Crudell, Graham Casey Gibson, Evan Moore, Rebecca Silva, Matthew Biggerstaff, Michael A Johansson, Roni Rosenfeld, Jeffrey Shaman
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 11, p e1007486 (2019)
Seasonal influenza results in substantial annual morbidity and mortality in the United States and worldwide. Accurate forecasts of key features of influenza epidemics, such as the timing and severity of the peak incidence in a given season, can infor
Externí odkaz:
https://doaj.org/article/8fddc76ce8384bd69afafa34f538fa07
Autor:
Evan L Ray, Nicholas G Reich
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 2, p e1005910 (2018)
Accurate and reliable predictions of infectious disease dynamics can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission. A great variety of models have been developed for this task, using di
Externí odkaz:
https://doaj.org/article/f7506d2c9d6e4989b476a3410d2093d7
Autor:
Nicholas G, Reich, Justin, Lessler, Sebastian, Funk, Cecile, Viboud, Alessandro, Vespignani, Ryan J, Tibshirani, Katriona, Shea, Melanie, Schienle, Michael C, Runge, Roni, Rosenfeld, Evan L, Ray, Rene, Niehus, Helen C, Johnson, Michael A, Johansson, Harry, Hochheiser, Lauren, Gardner, Johannes, Bracher, Rebecca K, Borchering, Matthew, Biggerstaff
Publikováno v:
Am J Public Health
Publikováno v:
medRxiv
Identifying data streams that can consistently improve the accuracy of epidemiological forecasting models is challenging. Using models designed to predict daily state-level hospital admissions due to COVID-19 in California and Massachusetts, we inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d12e4f808af55f8afe4f7b5e410731c
https://europepmc.org/articles/PMC10029058/
https://europepmc.org/articles/PMC10029058/
Autor:
Karen M. Holcomb, Sarabeth Mathis, J. Erin Staples, Marc Fischer, Christopher M. Barker, Charles B. Beard, Randall J. Nett, Alexander C. Keyel, Matteo Marcantonio, Marissa L. Childs, Morgan E. Gorris, Ilia Rochlin, Marco Hamins-Puértolas, Evan L. Ray, Johnny A. Uelmen, Nicholas DeFelice, Andrew S. Freedman, Brandon D. Hollingsworth, Praachi Das, Dave Osthus, John M. Humphreys, Nicole Nova, Erin A. Mordecai, Lee W. Cohnstaedt, Devin Kirk, Laura D. Kramer, Mallory J. Harris, Morgan P. Kain, Emily M. X. Reed, Michael A. Johansson
Publikováno v:
Parasites & Vectors. 16
Background West Nile virus (WNV) is the leading cause of mosquito-borne illness in the continental USA. WNV occurrence has high spatiotemporal variation, and current approaches to targeted control of the virus are limited, making forecasting a public
Autor:
Evan L. Ray, Logan C. Brooks, Jacob Bien, Matthew Biggerstaff, Nikos I. Bosse, Johannes Bracher, Estee Y. Cramer, Sebastian Funk, Aaron Gerding, Michael A. Johansson, Aaron Rumack, Yijin Wang, Martha Zorn, Ryan J. Tibshirani, Nicholas G. Reich
The U.S. COVID-19 Forecast Hub aggregates forecasts of the short-term burden of COVID-19 in the United States from many contributing teams. We study methods for building an ensemble that combines forecasts from these teams. These experiments have inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adceafaafa45b851e081a71ce1e87983
https://researchonline.lshtm.ac.uk/id/eprint/4666476/7/Ray_etal_2022_Comparing-trained-and-untrained-probabilistic.pdf
https://researchonline.lshtm.ac.uk/id/eprint/4666476/7/Ray_etal_2022_Comparing-trained-and-untrained-probabilistic.pdf