Ceire Costelloe BA(hons) MSc PhD CStat trained in Medical Statistics after studying Immunology at Trinity College Dublin.
She is a Senior Lecturer in the Department of Primary Care and Public health and Director of the Global Digital health unit.
She leads a team of doctoral and postdoctoral researchers funded through the NIHR, ESRC, UKRI and the Wellcome trust, conducting research in digital health, with a focus on the use of real-world data to provide evidence to inform healthcare service and delivery, and improve patient outcomes.
Céire's team uses routinely collected clinical data and electronic health record data (EHR) to predict risk, inform digital innovation, and evaluate interventions in healthcare practice across the healthcare economy. The work spans modelling, including research into the impact of vaccines on AMR, developing and testing digital interventions for infection outcomes such as sepsis, and studying patient and population level impacts of digital tools such as UK patient portals and the NHS app.
She is a Chartered Statistician with extensive experience in the design, conduct and analysis of RCTs and cluster RCTs. She worked as a Statistician in the Bristol Randomised trials unit and held a Lectureship in Medical Statistics at the NIHR Pragmatic clinical trials unit at Queen Mary University London. Prior to her current role she was a Lecturer within the NIHR HPRU in HCAI and AMR at Imperial.(2015-2018) where she developed an interest in the use of real-world data to emulate experimental trials, through the use of natural experiments and causal statistical methods.
She held a personal NIHR Career Development Fellowship (2016-2020) which focussed on methods to evaluate interventions targeting AMR using routinely collected clinical data and novel statistical causal inference methods. She has previously held a NIHR Postdoctoral Fellowship (2010-2013) which used real world health data to examine risk factors associated with AMR infections in primary care.
More details about the Global Digital health unit, including opportunities, can be found here: Global Digital Health unit
You J, Expert P, Costelloe C, 2021, Using text mining to track outbreak trends in global surveillance of emerging diseases: ProMED-mail, Journal of the Royal Statistical Society Series A: Statistics in Society, ISSN:0964-1998
et al., 2021, Bacterial genotypic and patient risk factors for adverse outcomes in Escherichia coli bloodstream infections: a prospective molecular-epidemiological study
et al., 2021, Developing useful early warning and prognostic scores for COVID-19, Postgraduate Medical Journal, ISSN:0032-5473
et al., 2021, Association between intrahospital transfer and hospital-acquired infection in the elderly: A retrospective case-control study in a UK hospital network, Bmj Quality & Safety, Vol:30, ISSN:2044-5415, Pages:457-466
et al., 2021, Changes in emergency department activity and the first COVID-19 lockdown; a cross sectional study, Western Journal of Emergency Medicine : Integrating Emergency Care With Population Health, Vol:22, ISSN:1936-900X, Pages:603-607