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Antony Chum

Assistant Professor in Quantitative Human Geography, Faculty of Social Sciences

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Biography

Antony Chum has a PhD in Human Geography from the University of Toronto focusing on urban and health geography, and completed a Canadian Institutes of Health research (CIHR) funded post-doctoral fellowship in health equity interventions at St Michael's Hospital in Toronto, Canada. Dr. Chum's main research interests are to understand the influence of built environments on human health and wellbeing, and to develop and evaluate strategies to build healthier cities and communities. His work addresses the urgent need to develop novel methods to represent the complexities of human behaviour and the built environment. These methods enable researchers to build strong evidence to guide healthy planning policies. Drawing on the disciplines of urban and health geography, environmental and social epidemiology, and GIS (Geographic Information Science), his work aims to inform public policy and the practice of urban planning, architecture, and urban design to promote urban health.

Dr. Chum welcomes students and collaborators to contact him regarding the following areas of research: 1) social and geographical determinants of health, 2) housing, homelessness, and evictions, 3) the geography of volunteerism and unpaid labour, and 4) the use of quantitative methods in social scientific inquiry.

Expertise Summary

  • Health Geography
  • Urban Geography
  • Social & Environmental Epidemiology
  • Quantitative Methods
  • Measurement & Instrument Development
  • Evaluating Interventions
  • Realist Methods in Social Science
  • Public Health Policy
  • Topics: Active Transportation, Neighbourhood Effects on Health (i.e. diet, physical activity, obesity, sleep, and chronic diseases), Housing, and Homelessness

Teaching Summary

I am committed to creating high-quality modules at the undergraduate and postgraduate levels in the areas of quantitative analytical methods, health and urban geography, GIS, and research methods.

I offer instruction in quantitative methods through the Q-step programme at the University of Nottingham. The UK has a shortage of graduates with the ability to evaluate evidence, analyse data, and design and commission research. Yet these skills are increasingly in demand from employers across all sectors including government, business and charities. The Q-Step programme was developed as a strategic response to this shortage and aims to increase the number of quantitatively trained social scientists so that they can address the growing number of issues that require these skills. It also serves to offer broader training that opens up a wider range of career prospects for these graduates. While I offer instruction in statistical programming (R and SAS), Python programming, and data science, students who want to begin training in these areas can have a look at Datacamp. They offer some great training resources that can help you get started.

Recent Publications

  • CHUM, ANTONY, SKOSIREVA, A, TOBAN, J. and HWANG, S, 2016. Psychometric validity and reliability of the SF-12 measure for physical and mental health for a population of homeless adults with mental illnesses: Plos One PLoS One.
  • O'CAMPO P, STERGIOPOULOS V, NIR P, LEVY M, CHUM A, MISIR V, ARBACH B, NISENBAUM R, TO MJ and HWANG SW, 2016. How did a Housing First intervention improve health and social outcomes among homeless adults with mental illness in Toronto? Two-year outcomes from a randomised trial. BMJ open. 6(9), e010581
  • CHUM, ANTONY, O'CAMPO, PATRICIA and MATHESON, FLORA, 2015. The impact of urban land uses on sleep duration and sleep problems CANADIAN GEOGRAPHER-GEOGRAPHE CANADIEN. 59(4), 404-418
  • CHUM, ANTONY and O'CAMPO, PATRICIA, 2015. Cross-sectional associations between residential environmental exposures and cardiovascular diseases BMC PUBLIC HEALTH. 15,

School of Geography

Sir Clive Granger Building
University of Nottingham
University Park
Nottingham, NG7 2RD

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