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Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects captureârecapture models
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2024
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Abdelmajid Djennad
Ross Harris
Anne M. Presanis
Stefan Jahr
André Charlett
Daniela De Angelis
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Protection of vaccine boosters and prior infection against mild/asymptomatic and moderate COVID-19 infection in the UK SIREN healthcare worker cohort: October 2023 to March 2024
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2024
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Peter Kirwan
Sarah Foulkes
Katie Munro
Dominic Sparkes
Jasleen Singh
Amanda P. Henry
Angela Dunne
Jean Timeyin
Sophie Russell
Jameel Khawam
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Evaluating pooled testing for asymptomatic screening of healthcare workers in hospitals
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2023
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Bethany Heath
Stephanie Evans
David S. Robertson
Julie V. Robotham
SofĂa S. Villar
Anne M. Presanis
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Evaluating pooled testing for asymptomatic screening of healthcare workers in hospitals
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2023
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Bethany Heath
Stephanie Evans
David S. Robertson
Julie V. Robotham
SofĂa S. Villar
Anne M. Presanis
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Alice Corbella, Anne M Presanis, Paul J Birrell and Daniela De Angelisâs contribution to the Discussion of âThe Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemicâ
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2023
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Alice Corbella
Anne M. Presanis
Paul Birrell
Daniela De Angelis
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A standardised protocol for assessment of relative SARS-CoV-2 variant severity, with application to severity risk for COVID-19 cases infected with Omicron BA.1 compared to Delta variants in six European countries
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2023
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Tommy Nyberg
Peter Bager
Ingrid Bech Svalgaard
Dritan Bejko
Nick Bundle
Josie Evans
Tyra Grove Krause
Jim McMenamin
Joël Mossong
Heather M. Mutch
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A Standardised Protocol for Assessment of Relative SARS-CoV-2 Variant Severity, with Application to Severity Risk for COVID-19 Cases Infected with Omicron BA.1 Compared to Delta Variants in six European Countries
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2023
|
Tommy Nyberg
Peter Bager
Ingrid Bech Svalgaard
Dritan Bejko
Nick Bundle
Josie Evans
Tyra Grove Krause
Jim McMenamin
Joël Mossong
Heather Mutch
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Estimation of the impact of hospital-onset SARS-CoV-2 infections on length of stay in English hospitals using causal inference
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2022
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James Stimson
Koen B. Pouwels
Russell Hope
Ben S. Cooper
Anne M. Presanis
Julie V. Robotham
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Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study
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2022
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Peter Kirwan
André Charlett
Paul Birrell
Suzanne Elgohari
Russell Hope
Sema Mandal
Daniela De Angelis
Anne M. Presanis
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A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19
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2022
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Christopher Jackson
Brian D. M. Tom
Peter Kirwan
Sema Mandal
Shaun R. Seaman
Kevin Kunzmann
Anne M. Presanis
Daniela De Angelis
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Adjusting for time of infection or positive test when estimating the risk of a post-infection outcome in an epidemic
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2022
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Shaun R. Seaman
Tommy Nyberg
Christopher E. Overton
David J. Pascall
Anne M. Presanis
Daniela De Angelis
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Hospitalization and Mortality Risk for COVID-19 Cases With SARS-CoV-2 AY.4.2 (VUI-21OCT-01) Compared to Non-AY.4.2 Delta Variant Sublineages
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2022
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Tommy Nyberg
Katie Harman
Asad Zaidi
Shaun R. Seaman
Nick Andrews
Sophie Nash
André Charlett
Jamie Lopez Bernal
Richard Myers
Natalie Groves
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A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19
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2022
|
Christopher Jackson
Brian D. M. Tom
Peter Kirwan
Sema Mandal
Shaun R. Seaman
Kevin Kunzmann
Anne M. Presanis
Daniela De Angelis
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Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods
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2022
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Alice Corbella
Anne M. Presanis
Paul Birrell
Daniela De Angelis
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The Lifebelt Particle Filter for robust estimation from low-valued count data
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2022
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Alice Corbella
Trevelyan J. McKinley
Paul Birrell
Anne M. Presanis
Simon E. F. Spencer
Gareth O. Roberts
Daniela De Angelis
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Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods
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2021
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Shaun R. Seaman
Anne M. Presanis
Christopher Jackson
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Risk factors associated with severe hospital burden of COVID-19 disease in Regione Lombardia: a cohort study
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2021
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Anne M. Presanis
Kevin Kunzmann
Francesca Grosso
Christopher Jackson
Alice Corbella
Giacomo Grasselli
Marco Salmoiraghi
Maria Gramegna
Daniela De Angelis
Danilo Cereda
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Risk factors associated with severe hospital burden of COVID-19 disease in Regione Lombardia: a cohort study.
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2021
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Anne M. Presanis
Kevin Kunzmann
Francesca Grosso
Christopher Jackson
Alice Corbella
Giacomo Grasselli
Marco Salmoiraghi
Maria Gramegna
Daniela De Angelis
Danilo Cereda
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Dynamic Predictions From Longitudinal CD4 Count Measures And Time To Death of HIV/AIDS Patients Using a Bayesian Joint Model
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2021
|
Feysal Kemal Muhammed
Aboma Temesgen Sebu
Anne M. Presanis
Denekew Bitew Belay
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Adjusting for time of infection or positive test when estimating the risk of a post-infection outcome in an epidemic
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2021
|
Shaun R. Seaman
Tommy Nyberg
Christopher E. Overton
David J. Pascall
Anne M. Presanis
Daniela De Angelis
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Risk of hospital admission for patients with SARS-CoV-2 variant B.1.1.7: cohort analysis
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2021
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Tommy Nyberg
Katherine A. Twohig
Ross Harris
Shaun R. Seaman
Joe Flannagan
Hester Allen
André Charlett
Daniela De Angelis
Gavin Dabrera
Anne M. Presanis
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Quantifying Efficiency Gains of Innovative Designs of Two-Arm Vaccine Trials for COVID-19 Using an Epidemic Simulation Model
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2021
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Rob Johnson
Chris Jackson
Anne M. Presanis
SofĂa S. Villar
Daniela De Angelis
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Quantifying efficiency gains of innovative designs of two-arm vaccine trials for COVID-19 using an epidemic simulation model
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2021
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Rob Johnson
Chris Jackson
Anne M. Presanis
SofĂa S. Villar
Daniela De Angelis
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Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis
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2021
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Christopher Jackson
Anne M. Presanis
Stefano Conti
Daniela De Angelis
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Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study
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2021
|
Peter Kirwan
André Charlett
Paul Birrell
Suzanne Elgohari
Russell Hope
Sema Mandal
Daniela De Angelis
Anne M. Presanis
|
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Quantifying efficiency gains of innovative designs of two-arm vaccine trials for COVID-19 using an epidemic simulation model
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2021
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Rob Johnson
Christopher Jackson
Anne M. Presanis
SofĂa S. Villar
Daniela De Angelis
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Trends in risks of severe events and lengths of stay for COVID-19 hospitalisations in England over the pre-vaccination era: results from the Public Health England SARI-Watch surveillance scheme
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2021
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Peter Kirwan
Suzanne Elgohari
Christopher Jackson
Brian D. M. Tom
Sema Mandal
Daniela De Angelis
Anne M. Presanis
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Estimating the prevalence of problem drug use from drugârelated mortality data
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2020
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Hayley E. Jones
Ross Harris
Beatrice C. Downing
Matthias Pierce
Tim Millar
A. E. Ades
Nicky J. Welton
Anne M. Presanis
Daniela De Angelis
Matthew Hickman
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Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study
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2020
|
Paul Birrell
XuâSheng Zhang
Alice Corbella
Edwin van Leeuwen
Nikolaos Panagiotopoulos
Katja Höschler
Alex J. Elliot
Maryia McGee
Simon de Lusignan
Anne M. Presanis
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Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study.
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2020
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Paul Birrell
XuâSheng Zhang
Alice Corbella
Edwin van Leeuwen
Nikolaos Panagiotopoulos
Katja Höschler
Alex J. Elliot
Maryia McGee
Simon de Lusignan
Anne M. Presanis
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Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a Case Study
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2020
|
Paul Birrell
XuâSheng Zhang
Alice Corbella
Edwin van Leeuwen
Nikolaos Panagiotopoulos
Katja Höschler
Alex J. Elliot
Maryia McGee
Simon de Lusignan
Anne M. Presanis
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Analysing Multiple Epidemic Data Sources
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2019
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Daniela De Angelis
Anne M. Presanis
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Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a Case Study
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2019
|
Paul Birrell
XuâSheng Zhang
Alice Corbella
Edwin van Leeuwen
Nikolaos Panagiotopoulos
Katja Höschler
Alex J. Elliot
Maryia McGee
Simon de Lusignan
Anne M. Presanis
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Assessing the Causal Effect of Binary Interventions from Observational Panel Data with Few Treated Units
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2019
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Pantelis Samartsidis
Shaun R. Seaman
Anne M. Presanis
Matthew Hickman
Daniela De Angelis
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Review of methods for assessing the causal effect of binary interventions from aggregate time-series observational data
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2019
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Pantelis Samartsidis
Shaun R. Seaman
Anne M. Presanis
Matthew Hickman
Daniela De Angelis
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Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis
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2019
|
Christopher Jackson
Anne M. Presanis
Stefano Conti
Daniela De Angelis
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Implications for HIV elimination by 2030 of recent trends in undiagnosed infection in England: an evidence synthesis
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2019
|
Anne M. Presanis
Peter Kirwan
Ada Miltz
Sara Croxford
Ross Harris
Ellen Heinsbroek
C. M. Jackson
Hamish Mohammed
Alison E Brown
Valérie Delpech
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Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
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2018
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Alice Corbella
XuâSheng Zhang
Paul Birrell
Nicki L. Boddington
Richard Pebody
Anne M. Presanis
Daniela De Angelis
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Review of methods for assessing the causal effect of binary interventions from aggregate time-series observational data
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2018
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Pantelis Samartsidis
Shaun R. Seaman
Anne M. Presanis
Matthew Hickman
Daniela De Angelis
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Joining and Splitting Models with Markov Melding
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2018
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Robert J. B. Goudie
Anne M. Presanis
David J. Lunn
Daniela De Angelis
Lorenz Wernisch
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Evidence Synthesis for Stochastic Epidemic Models
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2018
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Paul Birrell
Daniela De Angelis
Anne M. Presanis
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+
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Analysing Multiple Epidemic Data Sources
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2018
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Daniela De Angelis
Anne M. Presanis
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Monitoring and predicting influenza epidemics from routinely collected severe case data
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2017
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Alice Corbella
XuâSheng Zhang
Paul Birrell
Nicky Boddington
Anne M. Presanis
Richard Pebody
Daniela De Angelis
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Evidence synthesis for stochastic epidemic models
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2017
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Paul Birrell
Daniela De Angelis
Anne M. Presanis
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Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
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2017
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Alice Corbella
XuâSheng Zhang
Paul Birrell
Nicky Boddington
Anne M. Presanis
Richard Pebody
Daniela De Angelis
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A joint analysis of influenza-associated hospitalizations and mortality in Hong Kong, 1998â2013
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2017
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Peng Wu
Anne M. Presanis
Helen S. Bond
Eric H. Y. Lau
Vicky J. Fang
Benjamin J. Cowling
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Conflict diagnostics for evidence synthesis in a multiple testing framework
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2017
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Anne M. Presanis
David Ohlssen
Kai Cui
Magdalena RosiĆska
Daniela De Angelis
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Quantifying the recency of HIV infection using multiple longitudinal biomarkers
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2017
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Loumpiana Koulai
Anne M. Presanis
Gary Murphy
Barbara Suligoi
Daniela De Angelis
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Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
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2017
|
Alice Corbella
XuâSheng Zhang
Paul Birrell
Nicky Boddington
Anne M. Presanis
Richard Pebody
Daniela De Angelis
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Conflict diagnostics for evidence synthesis in a multiple testing framework
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2017
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Anne M. Presanis
David Ohlssen
Kai Cui
Magdalena RosiĆska
Daniela De Angelis
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Evidence synthesis for stochastic epidemic models
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2017
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Paul Birrell
Daniela De Angelis
Anne M. Presanis
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Model surgery: joining and splitting models with Markov melding
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2016
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Robert J. B. Goudie
Anne M. Presanis
David J. Lunn
Daniela De Angelis
Lorenz Wernisch
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Bayesian evidence synthesis to estimate HIV prevalence in men who have sex with men in Poland at the end of 2009
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2015
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Magdalena RosiĆska
Piotr Gwiazda
Daniela De Angelis
Anne M. Presanis
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Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009â2011
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2014
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Anne M. Presanis
Richard Pebody
Paul Birrell
Brian D. M. Tom
Helen K. Green
H Durnall
Douglas Fleming
Daniela De Angelis
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Four key challenges in infectious disease modelling using data from multiple sources
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2014
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Daniela De Angelis
Anne M. Presanis
Paul Birrell
Gianpaolo Scalia Tomba
Thomas House
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Estimation of HIV Burden through Bayesian Evidence Synthesis
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2014
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Daniela De Angelis
Anne M. Presanis
Stefano Conti
A. E. Ades
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An evidence synthesis approach to estimating the incidence of seasonal influenza in the <scp>N</scp>etherlands
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2013
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Scott McDonald
Anne M. Presanis
Daniela De Angelis
Wim van der Hoek
M. Hooiveld
GĂ© Donker
Mirjam Kretzschmar
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Conflict Diagnostics in Directed Acyclic Graphs, with Applications in Bayesian Evidence Synthesis
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2013
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Anne M. Presanis
David Ohlssen
David J. Spiegelhalter
Daniela De Angelis
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Estimated global mortality associated with the first 12 months of 2009 pandemic influenza A H1N1 virus circulation: a modelling study
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2012
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Fatimah S. Dawood
A. Danielle Iuliano
Carrie Reed
Martin I. Meltzer
David K. Shay
Po-Yung Cheng
Don Bandaranayake
Robert F. Breiman
W. Abdullah Brooks
Philippe Buchy
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Modeling of the HIV infection epidemic in the Netherlands: A multi-parameter evidence synthesis approach
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2011
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Stefano Conti
Anne M. Presanis
Maaike G. van Veen
Maria Xiridou
Martin C. Donoghoe
Annemarie Rinder Stengaard
Daniela De Angelis
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Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London
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2011
|
Paul Birrell
Georgios Ketsetzis
Nigel Gay
Ben S. Cooper
Anne M. Presanis
Ross Harris
André Charlett
XuâSheng Zhang
Peter J White
Richard Pebody
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Changes in severity of 2009 pandemic A/H1N1 influenza in England: a Bayesian evidence synthesis
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2011
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Anne M. Presanis
Richard Pebody
Beverley J. Paterson
Brian D. M. Tom
Paul Birrell
André Charlett
Marc Lipsitch
Daniela De Angelis
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Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men
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2011
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Anne M. Presanis
Daniela De Angelis
AĂŻcha Goubar
O N Gill
A. E. Ades
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Insights into the rise in HIV infections, 2001 to 2008: a Bayesian synthesis of prevalence evidence
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2010
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Anne M. Presanis
O N Gill
T Chadborn
Caterina Hill
Vivian Hope
Louise Logan
Brian Rice
Valérie Delpech
AE Ades
Daniela De Angelis
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The severity of pandemic H1N1 influenza in the United States, April â July 2009
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2010
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Anne M. Presanis
Marc Lipsitch
Daniela De Angelis
Mental Hygiene
Angie Hagy
Carrie Reed
Steven Riley
Ben S. Cooper
Paul A. Biedrzycki
Lyn Finelli
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The Severity of Pandemic H1N1 Influenza in the United States, from April to July 2009: A Bayesian Analysis
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2009
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Anne M. Presanis
Daniela De Angelis
Angela Hagy
Carrie Reed
Steven Riley
Ben S. Cooper
Lyn Finelli
Paul A. Biedrzycki
Marc Lipsitch
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Conflicting Evidence in a Bayesian Synthesis of Surveillance Data to Estimate Human Immunodeficiency Virus Prevalence
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2008
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Anne M. Presanis
Daniela De Angelis
David J. Spiegelhalter
Shaun R. Seaman
AĂŻcha Goubar
A. E. Ades
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Comparing methods of analyzing fMRI statistical parametric maps
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2004
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Jonathan Marchini
Anne M. Presanis
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