Qualifications & Memberships
Dr. Campbell focuses on Quantitative Health Geography. He also has expertise in Spatial Microsimulation modelling for 'what-if' policy analysis, examining the potential effects of changing policy on the population at the small area level and quantifying the effects of different scenarios on the population.
Dr Campbell has an established research theme on Smart cities and health, with a geo-spatial health pilot project on COPD patients in Christchurch in collaboration with multiple partners internationally.
In addition, Dr Campbell has an established theme with ongoing projects based on dynamic mobile health geography.
Malcolm is working on a series of projects which attempt to examine and understand social and spatial inequalities in different contexts. He also has an interest in developing and applying novel methods to geographical problems.
Some current examples of his research include:
Spatial Microsimulation of health and socio-economic variables at small area geographies.
Analysing the inequalities in health between population groups and geographical areas.
Smart Cities and health.
- Marek L., Campbell M. and Bui L. (2017) Shaking for innovation: The (re)building of a (smart) city in a post disaster environment. CITIES 63: 41-50. http://dx.doi.org/10.1016/j.cities.2016.12.013.
- Bowie C., Campbell M., Beere P. and Kingham S. (2016) Social and spatial inequalities in Rotaviral enteritis: a case for universally funded vaccination in New Zealand. Spatial and Spatio-temporal Epidemiology (submitted).
- Bowie C., Campbell M., Beere P. and Kingham S. (2016) Social and spatial inequalities in Rotaviral enteritis: supporting universally funded vaccination in New Zealand. New Zealand Medical Journal 129(1431): 59-66.
- Campbell M. and Ballas D. (2016) SimAlba: A spatial microsimulation approach to the analysis of health inequalities. Frontiers in Public Health 4(OCT) http://dx.doi.org/10.3389/FPUBH.2016.00230.
- Campbell M., Beere P., Bowie C., Griffin E. and Kingham S. (2015) Suicides and unemployment: Is there a relationship in New Zealand? Australasian Epidemiologist 22(1): 55-60.