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20122026
most citedReconstructing transmission trees for communicable diseases using densely sampled genetic data

62 citations · 313 across the 18 of their papers we have counts for

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Showing stat.APShow all

8 papers · 1 filter

stat.AP2024★ 3 cited

Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration

Paul J Birrell, Joshua Blake, Joel Kandiah +12

A central pillar of the UK's response to the SARS-CoV-2 pandemic was the provision of up-to-the moment nowcasts and short term projections to monitor current trends in transmission…

stat.AP2024

The NOSTRA model: coherent estimation of infection sources in the case of possible nosocomial transmission

David J Pascall, Chris Jackson, Stephanie Evans +8

Nosocomial infections have important consequences for patients and hospital staff: they worsen patient outcomes and their management stresses already overburdened health systems. A…

stat.AP2022

Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods

Alice Corbella, Anne M Presanis, Paul J Birrell +1

Health-policy planning requires evidence on the burden that epidemics place on healthcare systems. Multiple, often dependent, datasets provide a noisy and fragmented signal from th…

stat.AP2021★ 39 cited

Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study

Peter Kirwan, Andre Charlett, Paul Birrell +5

Widespread vaccination campaigns have changed the landscape for COVID-19, vastly altering symptoms and reducing morbidity and mortality. We estimate trends in mortality by month of…

stat.AP2017★ 34 cited

Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis

Christopher Jackson, Anne Presanis, Stefano Conti +1

Suppose we have a Bayesian model which combines evidence from several different sources. We want to know which model parameters most affect the estimate or decision from the model,…

stat.AP2014★ 9 cited

Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009-2011

Anne M. Presanis, Richard G. Pebody, Paul J. Birrell +5

Knowledge of the severity of an influenza outbreak is crucial for informing and monitoring appropriate public health responses, both during and after an epidemic. However, case-fat…

stat.AP2014★ 62 cited

Reconstructing transmission trees for communicable diseases using densely sampled genetic data

Colin J. Worby, Philip D. O'Neill, Theodore Kypraios +5

Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to investigate who infected whom with unparalleled resolution, potentially yielding imp…

stat.AP2012★ 7 cited

Modeling of the HIV infection epidemic in the Netherlands: A multi-parameter evidence synthesis approach

Stefano Conti, Anne M. Presanis, Maaike G. van Veen +4

Multi-parameter evidence synthesis (MPES) is receiving growing attention from the epidemiological community as a coherent and flexible analytical framework to accommodate a dispara…