Dr Gill HarperHonorary Post-Doctoral Research FellowEmail: g.harper@qmul.ac.ukProfilePublicationsSupervisionProfileI am a Research Fellow in Health Data Science at Queen Mary’s Clinical Effectiveness Group (CEG), a multi-disciplinary research unit that uses primary care data from electronic health records (EHRs) to conduct research and build in-practice software to improve clinical practice and to fight health inequalities in the socially diverse communities of North East London. I use my background in health geography and large-scale administrative data integration to bring granular geography into patient EHRs by linking individuals to their household and local geographic environment as a context for understanding health behaviours and outcomes. I work on innovative methods related to this. I lead on developing and maintaining a transparent and validated algorithm that assigns Unique Property Reference Numbers (UPRNs) to patient addresses and pseudonymising them to create Residential Anonymous Linking Fields (RALFs). The UPRN enables constructing households, geo-locating households, and linking to other data sets at the household level. I use the UPRN infrastructure to create dynamic whole population household spines containing innovative household characteristic variables such as household composition and over-crowding. This information supports household level health research myself and the Real Child Health team are conducting including insights into the distribution of long-term health conditions and multi-morbidity within and between households of different types, inequalities in the household burden and outcomes of COVID-19, and household perspectives on childhood obesity. I first joined Queen Mary in 2017 as a UKRI Rutherford Innovation Research Fellow. Prior to that I have worked with local governments and public health teams as well as academic research projects that involved linking and analysing large-scale datasets to create new information and evidence. My PhD from Cass Business School, City University London described a method to count and profile local populations using linked routinely collected data. My Masters is in Geographic Information Science from University College London. I am interested in the wider determinants of health, particularly the effect of household level geography and environment on health behaviours and outcomes - how where we live and who we live with impacts health and health inequalitiesResearchPublicationsPlease click through to see a complete list of Gill's publicationsSupervisionNicola Firman, Barts and The London Charity, ‘Obesity and health outcomes in an ethnically diverse child population: methodological approaches and insights using linked EHRs and a household perspective’ Marta Wilk, Barts and The London Charity, ‘Household perspectives on the health and educational outcomes of childhood obesity using linked electronic health records’