Dr Peter Ka Hung Chan
Contact information
Colleges
Peter Ka Hung Chan
BSc., MSc., DPhil., AFHEA.
Oxford British Heart Foundation Centre of Research Excellence Intermediate Transition Research Fellow in Cardiovascular Research
Environmental and cardiovascular epidemiology
Peter is an Oxford British Heart Foundation Centre of Research Excellence Intermediate Transition Research Fellow in the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU). His research is based on the China Kadoorie Biobank and UK Biobank and focuses on the understanding of the effects of environmental exposures on major chronic diseases, particularly cardiovascular disease. He is particularly interested in integrating multi-dimensional data (e.g. wearable devices, OMICs) to assess the health impact of environmental exposures more accurately and comprehensively.
Before joining CTSU, Peter has received training in epidemiology, having obtained an MSc in Global Health Science and a DPhil in Population Health, both from the Nuffield Department of Population Health. He had also studied public health at The Chinese University of Hong Kong, Johns Hopkins Bloomberg School of Public Health, and Copenhagen School of Global Health.
Recent publications
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Tobacco smoking and risks of more than 470 diseases in China: a prospective cohort study.
Journal article
Chan KH. et al, (2022), Lancet Public Health, 7, e1014 - e1026
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Long-Term Exposure to Ambient Fine Particulate Matter and Incidence of Major Cardiovascular Diseases: A Prospective Study of 0.5 Million Adults in China.
Journal article
Liu C. et al, (2022), Environ Sci Technol
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Tobacco smoking and solid fuels for cooking and risk of liver cancer: A prospective cohort study of 0.5 million Chinese adults.
Journal article
Wen Q. et al, (2022), Int J Cancer, 151, 181 - 190
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Solid Fuel, Second-Hand Smoke, and Lung Cancer Mortality: A Prospective Cohort of 323,794 Chinese Never-Smokers.
Journal article
Cheng ES. et al, (2022), Am J Respir Crit Care Med
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Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.
Other
Chun M. et al, (2021), Sci Rep, 11