39 citations · 230 across the 21 of their papers we have counts for
10 papers · 1 filter
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…
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…
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
Peter D. Kirwan, Suzanne Elgohari, Christopher H. Jackson +4
Background: Trends in hospitalised case-fatality risk (HFR), risk of intensive care unit (ICU) admission and lengths of stay for patients hospitalised for COVID-19 in England over…
Implications for HIV elimination by 2030 of recent trends in undiagnosed infection in England: an evidence synthesis
Anne M Presanis, Peter Kirwan, Ada Miltz +9
A target to eliminate Human Immuno-deficiency Virus (HIV) transmission in England by 2030 was set in early 2019. Estimates of recent trends in HIV prevalence, particularly the numb…
Assessing the causal effect of binary interventions from observational panel data with few treated units
Pantelis Samartsidis, Shaun R. Seaman, Anne M. Presanis +2
Researchers are often challenged with assessing the impact of an intervention on an outcome of interest in situations where the intervention is non-randomised, the intervention is…
Quantifying the recency of HIV infection using multiple longitudinal biomarkers
Loumpiana Koulai, Anne Presanis, Gary Murphy +2
Knowledge of the time at which an HIV-infected individual seroconverts, when the immune system starts responding to HIV infection, plays a vital role in the design and implementati…
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
Alice Corbella, Xu-Sheng Zhang, Paul J. Birrell +4
Influenza remains a significant burden on health systems. Effective responses rely on the timely understanding of the magnitude and the evolution of an outbreak. For monitoring pur…
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,…
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…
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…