Steven Riley

Steve Riley}}

Steven Riley is a professor of infectious disease dynamics at Imperial College London. He is a member of the Scientific Pandemic Influenza Modelling group (SPI-M) of SAGE. In 2021, he was appointed director general of data and analytics, responsible for surveillance at the UK Health Security Agency (UKHSA). Provided by Wikipedia
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  1. 1
    Complex disease dynamics and the design of influenza vaccination programs.

    Complex disease dynamics and the design of influenza vaccination programs. by Steven Riley

    Published 2013-11-01
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  2. 2
    The spatial resolution of epidemic peaks.

    The spatial resolution of epidemic peaks. by Harriet L Mills, Steven Riley

    Published 2014-04-01
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  3. 3
    Estimation of the Basic Reproductive Number and Mean Serial Interval of a Novel Pathogen in a Small, Well-Observed Discrete Population.

    Estimation of the Basic Reproductive Number and Mean Serial Interval of a Novel Pathogen in a Small, Well-Observed Discrete Population. by Kendra M Wu, Steven Riley

    Published 2016-01-01
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  4. 4
    Modelling the proportion of influenza infections within households during pandemic and non-pandemic years.

    Modelling the proportion of influenza infections within households during pandemic and non-pandemic years. by Kin On Kwok, Gabriel M Leung, Steven Riley

    Published 2011-01-01
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  5. 5
    Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example.

    Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Ko... by Kin On Kwok, Bahman Davoudi, Steven Riley, Babak Pourbohloul

    Published 2015-01-01
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  6. 6
    Accurate influenza forecasts using type-specific incidence data for small geographic units.

    Accurate influenza forecasts using type-specific incidence data for small geographic units. by James Turtle, Pete Riley, Michal Ben-Nun, Steven Riley

    Published 2021-07-01
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  7. 7
    Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic.

    Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic. by Michal Ben-Nun, Pete Riley, James Turtle, Steven Riley

    Published 2022-08-01
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  8. 8
    Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data.

    Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data. by Adam J Kucharski, Justin Lessler, Jonathan M Read, Huachen Zhu, Chao Qiang Jiang, Yi Guan, Derek A T Cummings, Steven Riley

    Published 2015-03-01
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  9. 9
    Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations.

    Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations. by Pete Riley, Michal Ben-Nun, Jon A Linker, Angelia A Cost, Jose L Sanchez, Dylan George, David P Bacon, Steven Riley

    Published 2015-09-01
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  10. 10
    Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people.

    Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people. by Joshua Elliott, Matthew Whitaker, Barbara Bodinier, Oliver Eales, Steven Riley, Helen Ward, Graham Cooke, Ara Darzi, Marc Chadeau-Hyam, Paul Elliott

    Published 2021-09-01
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  11. 11
    Multiple estimates of transmissibility for the 2009 influenza pandemic based on influenza-like-illness data from small US military populations.

    Multiple estimates of transmissibility for the 2009 influenza pandemic based on influenza-like-illness data from small US military populations. by Pete Riley, Michal Ben-Nun, Richard Armenta, Jon A Linker, Angela A Eick, Jose L Sanchez, Dylan George, David P Bacon, Steven Riley

    Published 2013-01-01
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  12. 12
    Pathways to strengthening the epidemic intelligence workforce

    Pathways to strengthening the epidemic intelligence workforce by Barbara Tornimbene, Zoila Beatriz Leiva Rioja, Olaolu Aderinola, Zulma M. Cucunubá, Catalina González-Uribe, Danil Mihailov, Steven Riley, Sang-woo Tak, Oliver Morgan

    Published 2025-02-01
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  13. 13
    The contribution of social behaviour to the transmission of influenza A in a human population.

    The contribution of social behaviour to the transmission of influenza A in a human population. by Adam J Kucharski, Kin O Kwok, Vivian W I Wei, Benjamin J Cowling, Jonathan M Read, Justin Lessler, Derek A Cummings, Steven Riley

    Published 2014-06-01
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  14. 14
    Anticipating the prevalence of avian influenza subtypes H9 and H5 in live-bird markets.

    Anticipating the prevalence of avian influenza subtypes H9 and H5 in live-bird markets. by Kim M Pepin, Jia Wang, Colleen T Webb, Jennifer A Hoeting, Mary Poss, Peter J Hudson, Wenshan Hong, Huachen Zhu, Yi Guan, Steven Riley

    Published 2013-01-01
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  15. 15
    Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.

    Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course. by James A Hay, Huachen Zhu, Chao Qiang Jiang, Kin On Kwok, Ruiyin Shen, Adam Kucharski, Bingyi Yang, Jonathan M Read, Justin Lessler, Derek A T Cummings, Steven Riley

    Published 2024-11-01
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  16. 16
    The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis.

    The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis. by Anne M Presanis, Daniela De Angelis, New York City Swine Flu Investigation Team, Angela Hagy, Carrie Reed, Steven Riley, Ben S Cooper, Lyn Finelli, Paul Biedrzycki, Marc Lipsitch

    Published 2009-12-01
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  17. 17
    Dynamics of SARS-CoV-2 infection hospitalisation and infection fatality ratios over 23 months in England.

    Dynamics of SARS-CoV-2 infection hospitalisation and infection fatality ratios over 23 months in England. by Oliver Eales, David Haw, Haowei Wang, Christina Atchison, Deborah Ashby, Graham S Cooke, Wendy Barclay, Helen Ward, Ara Darzi, Christl A Donnelly, Marc Chadeau-Hyam, Paul Elliott, Steven Riley

    Published 2023-05-01
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  18. 18
    Strategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 Study

    Strategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 St... by Christina J Atchison, Nicholas Gilby, Galini Pantelidou, Sam Clemens, Kevin Pickering, Marc Chadeau-Hyam, Deborah Ashby, Wendy S Barclay, Graham S Cooke, Ara Darzi, Steven Riley, Christl A Donnelly, Helen Ward, Paul Elliott

    Published 2025-01-01
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  19. 19
    Potential Biases in Estimating Absolute and Relative Case-Fatality Risks during Outbreaks.

    Potential Biases in Estimating Absolute and Relative Case-Fatality Risks during Outbreaks. by Marc Lipsitch, Christl A Donnelly, Christophe Fraser, Isobel M Blake, Anne Cori, Ilaria Dorigatti, Neil M Ferguson, Tini Garske, Harriet L Mills, Steven Riley, Maria D Van Kerkhove, Miguel A Hernán

    Published 2015-01-01
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  20. 20
    Trends in SARS-CoV-2 infection prevalence during England's roadmap out of lockdown, January to July 2021.

    Trends in SARS-CoV-2 infection prevalence during England's roadmap out of lockdown, January to July 2021. by Oliver Eales, Haowei Wang, David Haw, Kylie E C Ainslie, Caroline E Walters, Christina Atchison, Graham Cooke, Wendy Barclay, Helen Ward, Ara Darzi, Deborah Ashby, Christl A Donnelly, Paul Elliott, Steven Riley

    Published 2022-11-01
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