The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
email:
Kashif.Zia@glasgow.ac.uk
pronouns:
He/him/his
99 Berkeley Street, Glasgow, Glasgow City, Scotland, United Kingdom, G3 7HR
Höhn, A. et al. (2023) Systems science methods in public health: what can they contribute to our understanding of and response to the cost-of-living crisis? Journal of Epidemiology and Community Health, 77(9), pp. 610-616. (doi: 10.1136/jech-2023-220435) (PMID:37328262) (PMCID:PMC10423532)
Abusham, E., Ibrahim, B., Zia, K. and Rehman, M. (2023) Facial image encryption for secure face recognition system. Electronics, 12(3), 774. (doi: 10.3390/electronics12030774)
Park, S. H. et al. (2023) Nonpharmaceutical interventions reduce the incidence and mortality of COVID‐19: a study based on the survey from the International COVID‐19 Research Network (ICRN). Journal of Medical Virology, 95(2), e28354. (doi: 10.1002/jmv.28354) (PMID:36447130) (PMCID:PMC9878143)
Höhn, A. et al. (2023) Systems science methods in public health: what can they contribute to our understanding of and response to the cost-of-living crisis? Journal of Epidemiology and Community Health, 77(9), pp. 610-616. (doi: 10.1136/jech-2023-220435) (PMID:37328262) (PMCID:PMC10423532)
Abusham, E., Ibrahim, B., Zia, K. and Rehman, M. (2023) Facial image encryption for secure face recognition system. Electronics, 12(3), 774. (doi: 10.3390/electronics12030774)
Park, S. H. et al. (2023) Nonpharmaceutical interventions reduce the incidence and mortality of COVID‐19: a study based on the survey from the International COVID‐19 Research Network (ICRN). Journal of Medical Virology, 95(2), e28354. (doi: 10.1002/jmv.28354) (PMID:36447130) (PMCID:PMC9878143)
Lomax, N., Hoehn, A. , Heppenstall, A. , Purshouse, R., Wu, G., Zia, K. and Meier, P. (2024) SIPHER Synthetic Population for Individuals in Great Britain, 2019-2021. [Data Collection]