Social capital, as comprised of human connections in social networks and their associated benefits, is closely related to the health of individuals, communities, and societies at large. For disadvantaged population groups such as older adults and racial/ethnic minorities, social capital may play a particularly critical role in mitigating the negative effects and reinforcing the positive effects on health. In this project, we model social capital as both cause and effect by simulating dynamic networks. Informed in part by a community-based health promotion program, an agent-based model is contextualized in a GIS environment to explore the complexity of social disparities in oral and general health as experienced at the individual, interpersonal, and community scales. This study provides the foundation for future work investigating how health and healthcare accessibility may be influenced by social networks.
CITATION STYLE
Wang, H., Northridge, M. E., Kunzel, C., Zhang, Q., Kum, S. S., Gilbert, J. L., … Metcalf, S. S. (2016). Modeling social capital as dynamic networks to promote access to oral healthcare. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9708 LNCS, pp. 117–130). Springer Verlag. https://doi.org/10.1007/978-3-319-39931-7_12
Mendeley helps you to discover research relevant for your work.