Ruby Tsang
PhD
Researcher - Clinical Informatics
I am a researcher in the Clinical Informatics and Health Outcomes Research Group. My current research is focused on influenza and COVID-19 surveillance using the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) database.
I hold a PhD in Psychiatry. Prior to joining this group, I worked as a postdoctoral researcher in the Department of Psychiatry, during which I worked on projects that examined (i) vascular contributions to cognition and mental health, (ii) longitudinal associations between cognition and mental health, and (iii) the impact of childhood adversity on cognitive ageing trajectories. I have extensive experience of working with longitudinal cohort datasets, including UK Biobank as well as various ageing studies from the UK, the USA and Australia.
My other research interests include: cognitive ageing, late-life mental health, multimorbidity, and dementia knowledge translation.
Key publications
-
Disparities in the excess risk of mortality in the first wave of COVID-19: Cross sectional study of the English sentinel network
Journal article
de Lusignan S. et al, (2020), Journal of Infection
-
Depression and memory function-evidence from cross-lagged panel models with unit fixed effects in ELSA and HRS
Journal article
Jindra C. et al, (2020), Psychological Medicine
-
Systematic review and meta-analysis of genetic studies of late-life depression
Journal article
Tsang RSM. et al, (2017), Neuroscience and Biobehavioral Reviews, 75, 129 - 139
Recent publications
-
Sociodemographic disparities in COVID-19 seroprevalence across England in the Oxford RCGP primary care sentinel network.
Journal article
Whitaker H. et al, (2022), J Infect
-
Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
Preprint
Delanerolle G. et al, (2022)
-
Development and validation of a modified Cambridge Multimorbidity Score for use with internationally recognized electronic health record clinical terms (SNOMED CT)
Preprint
Tsang RSM. et al, (2022)
-
Investigating the uptake, effectiveness and safety of COVID-19 vaccines: protocol for an observational study using linked UK national data
Journal article
Vasileiou E. et al, (2022), BMJ open, 12
-
First dose ChAdOx1 and BNT162b2 COVID-19 vaccinations and cerebral venous sinus thrombosis: A pooled self-controlled case series study of 11.6 million individuals in England, Scotland, and Wales.
Journal article
Kerr S. et al, (2022), PLoS Med, 19