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20172021
most citedHospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis

107 citations · 144 across the 7 of their papers we have counts for

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5 papers · 1 filter

stat.AP2021

Evaluating the impact of local tracing partnerships on the performance of contact tracing for COVID-19 in England

Pantelis Samartsidis, Shaun R. Seaman, Abbie Harrison +7

Assessing the impact of an intervention using time-series observational data on multiple units and outcomes is a frequent problem in many fields of scientific research. In this pap…

stat.AP2021★ 107 cited

Hospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis

Tommy Nyberg, Katherine A. Twohig, Ross J. Harris +7

Objective: To evaluate the relationship between coronavirus disease 2019 (COVID-19) diagnosis with SARS-CoV-2 variant B.1.1.7 (also known as Variant of Concern 202012/01) and the r…

stat.AP2019★ 2 cited

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…

stat.AP2018★ 30 cited

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…

stat.AP2017

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…