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All papers authored by Daniela De Angelis

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2023 Harrison Manley, Thomas Bayley, Gabriel Danelian, Lucy Burton, Thomas Finnie, André Charlett, Nicholas A. Watkins, Paul Birrel, Daniela De Angelis

ORCID

, Matt Keeling, Sebastian Funk, Graham Medley, Lorenzo Pellis, Marc Baguelin, Graeme J. Ackland and 3 other authors

Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in England

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Sarah Hayes, Ruth McCabe, Daniela De Angelis

ORCID

, Christl A. Donnelly, Stephen Jw Evans, Graham F. Medley, David J. Spiegelhalter, Sheila M. Bird

Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry

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2022 Lorenzo Pellis, Paul J. Birrell, Joshua Blake, Ian Hall, Thomas A. House, Christopher E. Overton, Francesca Scarabel, Helena B. Stage, Daniela De Angelis

ORCID

Authors’ Reply to the Discussion of ‘Estimation of Reproduction Numbers in Real Time: Conceptual and Statistical Challenges’ by Pellis et al. in Session 3 of The Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 11 June 2021

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Christopher H. Jackson

ORCID

ORCID

, Peter D. Kirwan, Sema Mandal, Shaun R. Seaman

ORCID

, Kevin Kunzmann, Anne M. Presanis, Daniela De Angelis

ORCID

A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19

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Tommy Nyberg

ORCID

, Asad Zaidi, Neil M. Ferguson

ORCID

, Sophie G. Nash

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, Harriet H. Webster

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, Jamie Lopez Bernal

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, Paula Blomquist

ORCID

, Ferguson Nm, Nurin Abdul Aziz

ORCID

ORCID

and 18 other authors

Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study

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2021 Presanis Am, Anne M. Presanis, Kevin Kunzmann, Grosso Fm, Francesca M. Grosso, Jackson Ch, Christopher H. Jackson, Alice Corbella, Giacomo Grasselli, Marco Salmoiraghi, Maria Gramegna, Daniela De Angelis

ORCID

, Danilo Cereda

Risk factors associated with severe hospital burden of COVID-19 disease in Regione Lombardia: a cohort study

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Presanis Am, Anne M. Presanis, Harris Rj, Delpech Vc, Ross J. Harris, Peter D. Kirwan, Kirwan Pd, Ada Miltz, Sara Croxford, Ellen Heinsbroek, Jackson Ch, Christopher H. Jackson, Hamish Mohammed, Brown Ae, Alison E. Brown and 4 other authors

Trends in undiagnosed HIV prevalence in England and implications for eliminating HIV transmission by 2030: an evidence synthesis model

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Seaman Sr, Shaun R. Seaman, Tommy Nyberg, Overton Ce, Christopher E. Overton, David J. Pascall, Presanis Am, Anne M. Presanis, Daniela De Angelis

ORCID

Adjusting for time of infection or positive test when estimating the risk of a post-infection outcome in an epidemic

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Katherine A. Twohig

ORCID

ORCID

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, Simon Thelwall

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, Mary A. Sinnathamby

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, Shirin Aliabadi

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, Shaun R. Seaman

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, Ross J. Harris

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, Jamie Lopez-Bernal

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, Eileen Gallagher, Daniela De Angelis

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, Anne M. Presanis

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, Andre Charlett

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, Gavin Dabrera and 607 other authors

Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study

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Rob Johnson

ORCID

, Chris Jackson, Anne Presanis, Sofia S. Villar, Daniela De Angelis

ORCID

Quantifying Efficiency Gains of Innovative Designs of Two-Arm Vaccine Trials for COVID-19 Using an Epidemic Simulation Model

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Francesco Brizzi, Birrell Pj, Delpech Vc, Gill On, Paul J. Birrell, Peter Kirwan, Dana Ogaz, Brown Ae, Alison E. Brown, Valerie C. Delpech, O. Noel Gill, Daniela De Angelis

ORCID

Tracking elimination of HIV transmission in men who have sex with men in England: a modelling study

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Tommy Nyberg

ORCID

, Katherine A. Twohig

ORCID

, Twohig Ka, Ross J. Harris, Harris Rj, Shaun R. Seaman, Seaman Sr, Joe Flannagan, Hester Allen, Andre Charlett, Daniela De Angelis

ORCID

, Gavin Dabrera, Presanis Am, Anne M. Presanis

Risk of hospital admission for patients with SARS-CoV-2 variant B.1.1.7: cohort analysis

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Paul Birrell

ORCID

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, Edwin van Leeuwen

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, Daniela De Angelis

ORCID

Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave

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Annemarie B. Docherty, Janet Harrison, Rachel H. Mulholland, Nazir I. Lone, Christopher P. Cheyne, Daniela De Angelis

ORCID

, Karla Diaz-Ordaz, Thomas M. Drake, Cara Donegan, Jake Dunning, Sebastian Funk, Hayley E. Hardwick, Michelle Girvan, Marta García-Fiñana, Antonia Ho

ORCID

and 361 other authors

Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK

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William L. Hamilton

ORCID

, Hamilton Wl, Tom Fieldman, Aminu Jahun, Christopher J. R. Illingworth, Ben Warne, Chris Jackson, Michael P. Weekes, Sharon J. Peacock, Beth Blane, Theodore Gouliouris, Elinor Moore, M. Estée Török, Chris Workman, Martin D. Curran and 33 other authors

Applying prospective genomic surveillance to support investigation of hospital-onset COVID-19

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Zhang Xs, Xu-Sheng Zhang

ORCID

, Emilia Vynnycky, Andre Charlett, Daniela De Angelis

ORCID

, Zhengji Chen, Wei Liu

Transmission dynamics and control measures of COVID-19 outbreak in China: a modelling study

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Joel Persson, Jurriaan F. Parie, Stefan Feuerriegel, Daniela De Angelis

ORCID

Monitoring the COVID-19 epidemic with nationwide telecommunication data

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2020 Shaun R. Seaman, Pantelis Samartsidis, Meaghan Kall, Daniela De Angelis

ORCID

Nowcasting CoVID-19 Deaths in England by Age and Region

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Jones He, Hayley E. Jones

ORCID

, Ross J. Harris, Harris Rj, Beatrice C. Downing, Downing Bc, Matthias Pierce, Tim Millar, Nicky J. Welton, A. E. Ades, Ades Ae, Welton Nj, Presanis Am, Anne M. Presanis, Daniela De Angelis

ORCID

and 1 other authors

Estimating the prevalence of problem drug use from drug‐related mortality data

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Pantelis Samartsidis

ORCID

, Shaun R. Seaman, Silvia Montagna, André Charlett, Matthew Hickman, Daniela De Angelis, Daniela De Angelis

ORCID

A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes

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