Social connectedness and health
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Professor Jodie McVernon+61383440633
Project Details
Social connectedness has been associated with reduced morbidity and mortality in a range of studies over recent decades, and differences in access to social resources among communities have been associated with health inequalities. Following an earlier pilot study, the Modelling and Simulation group is involved in collecting quantitative data on social encounter networks in populations with a range of demographic, socio-economic and cultural characteristics.
Project summary
In collaboration with VicHealth, the Department of Health, and researchers from sociology, psychology and urban planning, we are exploring how social networks mediate between neighbourhood attributes and individual health outcomes. Funding from the Australian Urban Research Infrastructure Network has provided us with a forum to deliver the methods and insights developed through this research to a wider research and policy audience. Funding from Carlton Connect has enabled us to engage a wider set of collaborators from academia, government and community organisations to consider opportunities and challenges associated with ethics of collecting such data and its translation into policy outcomes. Current funding is enabling us to extend our understanding of these social networks to consider how they facilitate the spread of beliefs and behaviours about health.
Researchers
Dr Claire Mouat
Professor Pip Pattison (Melbourne School of Pscyhological Sciences, The University of Melbourne)
Professor Garry Robins (Melbourne School of Pscyhological Sciences, The University of Melbourne)
Dr David Rolls (Melbourne School of Pscyhological Sciences, The University of Melbourne)
Dr Alex Stivaala (Melbourne School of Pscyhological Sciences, The University of Melbourne)
Dr Martin Tomko (AURIN)
Funding
ARC Linkage Project, ARC DECRA, University of Melbourne, AURIN, Carlton Connect
Research Group
Faculty Research Themes
School Research Themes
Data science, health metrics and disease modeling
Key Contact
For further information about this research, please contact the research group leader.
Department / Centre
Centre for Epidemiology and Biostatistics
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