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116 results for Biggerstaff,+Matthew

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ArticlesPeer ReviewedFull Text
Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literature
Author / Creator:Biggerstaff, Matthew ; Cauchemez, Simon ; Reed, Carrie ; Gambhir, Manoj ; Finelli, Lyn
Publisher:England: BioMed Central Ltd
Journal title:BMC infectious diseases, 2014-09, Vol.14 (1), p.480-480, Article 480
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SARS-CoV-2 Transmission From People Without COVID-19 Symptoms
Author / Creator:Johansson, Michael A. ; Quandelacy, Talia M. ; Kada, Sarah ; Prasad, Pragati Venkata ; Steele, Molly ; Brooks, John T. ; Slayton, Rachel B. ; Biggerstaff, Matthew ; Butler, Jay C.
Publisher:United States: American Medical Association
Journal title:JAMA network open, 2021-01, Vol.4 (1), p.e2035057-e2035057
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Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches
Author / Creator:Lu, Fred S. ; Hattab, Mohammad W. ; Clemente, Cesar Leonardo ; Biggerstaff, Matthew ; Santillana, Mauricio
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2019-01, Vol.10 (1), p.147-147, Article 147
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A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States
Author / Creator:Reich, Nicholas G. ; Brooks, Logan C. ; Fox, Spencer J. ; Kandula, Sasikiran ; McGowan, Craig J. ; Moore, Evan ; Osthus, Dave ; Ray, Evan L. ; Tushar, Abhinav ; Yamana, Teresa K. ; Biggerstaff, Matthew ; Johansson, Michael A. ; Rosenfeld, Roni ; Shaman, Jeffrey
Publisher:United States: National Academy of Sciences
Journal title:Proceedings of the National Academy of Sciences - PNAS, 2019-02, Vol.116 (8), p.3146-3154
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Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S
Author / Creator:Reich, Nicholas G. ; McGowan, Craig J. ; Yamana, Teresa K. ; Tushar, Abhinav ; Ray, Evan L. ; Osthus, Dave ; Kandula, Sasikiran ; Brooks, Logan C. ; Crawford-Crudell, Willow ; Gibson, Graham Casey ; Moore, Evan ; Silva, Rebecca ; Biggerstaff, Matthew ; Johansson, Michael A. ; Rosenfeld, Roni ; Shaman, Jeffrey
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2019-11, Vol.15 (11), p.e1007486
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Using “outbreak science” to strengthen the use of models during epidemics
Author / Creator:Rivers, Caitlin ; Chretien, Jean-Paul ; Riley, Steven ; Pavlin, Julie A. ; Woodward, Alexandra ; Brett-Major, David ; Maljkovic Berry, Irina ; Morton, Lindsay ; Jarman, Richard G. ; Biggerstaff, Matthew ; Johansson, Michael A. ; Reich, Nicholas G. ; Meyer, Diane ; Snyder, Michael R. ; Pollett, Simon
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2019-07, Vol.10 (1), p.3102-3, Article 3102
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Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples
Author / Creator:Lutz, Chelsea S. ; Huynh, Mimi P. ; Schroeder, Monica ; Anyatonwu, Sophia ; Dahlgren, F. Scott ; Danyluk, Gregory ; Fernandez, Danielle ; Greene, Sharon K. ; Kipshidze, Nodar ; Liu, Leann ; Mgbere, Osaro ; McHugh, Lisa A. ; Myers, Jennifer F. ; Siniscalchi, Alan ; Sullivan, Amy D. ; West, Nicole ; Johansson, Michael A. ; Biggerstaff, Matthew
Publisher:England: BioMed Central Ltd
Journal title:BMC public health, 2019-12, Vol.19 (1), p.1659-1659, Article 1659
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Forecasting influenza activity using machine-learned mobility map
Author / Creator: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
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2021-02, Vol.12 (1), p.726-726, Article 726
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Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016
Author / Creator:McGowan, Craig J. ; Biggerstaff , Matthew ; Johansson, Michael ; Apfeldorf, Karyn M. ; Ben-Nun, Michal ; Brooks, Logan ; Convertino, Matteo ; Erraguntla, Madhav ; Farrow, David C. ; Freeze, John ; Ghosh, Saurav ; Hyun, Sangwon ; Kandula, Sasikiran ; Lega, Joceline ; Liu, Yang ; Michaud, Nicholas ; Morita, Haruka ; Niemi, Jarad ; Ramakrishnan, Naren ; Ray, Evan L. ; Reich, Nicholas G. ; Riley, Pete ; Shaman, Jeffrey ; Tibshirani, Ryan ; Vespignani, Alessandro ; Zhang, Qian ; Reed, Carrie
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-01, Vol.9 (1), p.683, Article 683
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Emergence of SARS-CoV-2 B.1.1.7 Lineage — United States, December 29, 2020–January 12, 2021
Author / Creator:Galloway, Summer E. ; Paul, Prabasaj ; MacCannell, Duncan R. ; Johansson, Michael A. ; Brooks, John T. ; MacNeil, Adam ; Slayton, Rachel B. ; Tong, Suxiang ; Silk, Benjamin J. ; Armstrong, Gregory L. ; Biggerstaff, Matthew ; Dugan, Vivien G.
Publisher:United States: Centers for Disease Control & Prevention (CDC)
Journal title:MMWR. Morbidity and mortality weekly report, 2021-01, Vol.70 (3), p.95-99
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Technology to advance infectious disease forecasting for outbreak management
Author / Creator:George, Dylan B. ; Taylor, Wendy ; Shaman, Jeffrey ; Rivers, Caitlin ; Paul, Brooke ; O’Toole, Tara ; Johansson, Michael A. ; Hirschman, Lynette ; Biggerstaff, Matthew ; Asher, Jason ; Reich, Nicholas G.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2019-09, Vol.10 (1), p.3932-4, Article 3932
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Influenza-like Illness, the Time to Seek Healthcare, and Influenza Antiviral Receipt During the 2010-2011 Influenza Season-United States
Author / Creator:Biggerstaff, Matthew ; Jhung, Michael A. ; Reed, Carrie ; Fry, Alicia M. ; Balluz, Lina ; Finelli, Lyn
Publisher:Oxford: Oxford University Press
Journal title:The Journal of infectious diseases, 2014-08, Vol.210 (4), p.535-544
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Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19
Author / Creator:Biggerstaff, Matthew ; Cowling, Benjamin J. ; Cucunubá, Zulma M. ; Dinh, Linh ; Ferguson, Neil M. ; Gao, Huizhi ; Hill, Verity ; Imai, Natsuko ; Johansson, Michael A. ; Kada, Sarah ; Morgan, Oliver ; Pastore y Piontti, Ana ; Polonsky, Jonathan A. ; Prasad, Pragati Venkata ; Quandelacy, Talia M. ; Rambaut, Andrew ; Tappero, Jordan W. ; Vandemaele, Katelijn A. ; Vespignani, Alessandro ; Warmbrod, K. Lane ; Wong, Jessica Y.
Publisher:United States: Centers for Disease Control and Prevention
Journal title:Emerging infectious diseases, 2020-11, Vol.26 (11), p.e1-e14
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Using real-time data to guide decision-making during an influenza pandemic: A modelling analysis
Author / Creator:Haw, David J. ; Biggerstaff, Matthew ; Prasad, Pragati ; Walker, Joseph ; Grenfell, Bryan ; Arinaminpathy, Nimalan
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2023-02, Vol.19 (2), p.e1010893-e1010893
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Lessons Learned from CDC’s Global COVID-19 Early Warning and Response Surveillance System
Author / Creator:Ricks, Philip M. ; Njie, Gibril J. ; Dawood, Fatimah S. ; Blain, Amy E. ; Winstead, Alison ; Popoola, Adebola ; Jones, Cynthia ; Li, Chaoyang ; Fuller, James ; Anantharam, Puneet ; Olson, Natalie ; Walker, Allison Taylor ; Biggerstaff, Matthew ; Marston, Barbara J. ; Arthur, Ray R. ; Bennett, Sarah D. ; Moolenaar, Ronald L.
Publisher:United States: Centers for Disease Control and Prevention
Journal title:Emerging infectious diseases, 2022-12, Vol.28 (13), p.S8-S16
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Accounting for assay performance when estimating the temporal dynamics in SARS-CoV-2 seroprevalence in the U.S
Author / Creator:García-Carreras, Bernardo ; Hitchings, Matt D. T. ; Johansson, Michael A. ; Biggerstaff, Matthew ; Slayton, Rachel B. ; Healy, Jessica M. ; Lessler, Justin ; Quandelacy, Talia ; Salje, Henrik ; Huang, Angkana T. ; Cummings, Derek A. T.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2023-04, Vol.14 (1), p.2235-11, Article 2235
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Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics
Author / Creator:Reed, Carrie ; Biggerstaff, Matthew ; Finelli, Lyn ; Koonin, Lisa M. ; Beauvais, Denise ; Uzicanin, Amra ; Plummer, Andrew ; Bresee, Joe ; Redd, Stephen C. ; Jernigan, Daniel B.
Publisher:United States: U.S. National Center for Infectious Diseases
Journal title:Emerging infectious diseases, 2013-01, Vol.19 (1), p.85-91
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A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern
Author / Creator:Kobres, Pei-Ying ; Chretien, Jean-Paul ; Johansson, Michael A. ; Morgan, Jeffrey J. ; Whung, Pai-Yei ; Mukundan, Harshini ; Del Valle, Sara Y. ; Forshey, Brett M. ; Quandelacy, Talia M. ; Biggerstaff, Matthew ; Viboud, Cecile ; Pollett, Simon
Publisher:United States: Public Library of Science
Journal title:PLoS neglected tropical diseases, 2019-10, Vol.13 (10), p.e0007451
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Household Transmission of 2009 Influenza A (H1N1) Virus after a School-Based Outbreak in New York City, April–May 2009
Author / Creator:France, Anne Marie ; Jackson, Michael ; Schrag, Stephanie ; Lynch, Michael ; Zimmerman, Christopher ; Biggerstaff, Matthew ; Hadler, James
Publisher:Oxford: The University of Chicago Press
Journal title:The Journal of infectious diseases, 2010-04, Vol.201 (7), p.984-992
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Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019
Author / Creator:Spreco, Armin ; Eriksson, Olle ; Dahlström, Örjan ; Cowling, Benjamin John ; Biggerstaff, Matthew ; Ljunggren, Gunnar ; Jöud, Anna ; Istefan, Emanuel ; Timpka, Toomas
Publisher:United States: U.S. National Center for Infectious Diseases
Journal title:Emerging infectious diseases, 2020-11, Vol.26 (11), p.2669-2677
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Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literature

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SARS-CoV-2 Transmission From People Without COVID-19 Symptoms

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Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches

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A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States

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Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S

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Using “outbreak science” to strengthen the use of models during epidemics

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Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples

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Forecasting influenza activity using machine-learned mobility map

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Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016

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Emergence of SARS-CoV-2 B.1.1.7 Lineage — United States, December 29, 2020–January 12, 2021

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Technology to advance infectious disease forecasting for outbreak management

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Influenza-like Illness, the Time to Seek Healthcare, and Influenza Antiviral Receipt During the 2010-2011 Influenza Season-United States

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Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19

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Using real-time data to guide decision-making during an influenza pandemic: A modelling analysis

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Lessons Learned from CDC’s Global COVID-19 Early Warning and Response Surveillance System

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Accounting for assay performance when estimating the temporal dynamics in SARS-CoV-2 seroprevalence in the U.S

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Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics

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A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern

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Household Transmission of 2009 Influenza A (H1N1) Virus after a School-Based Outbreak in New York City, April–May 2009

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Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019

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