Study systems include
Health Communication and Campaigns
Social Influence; Theories of Behavior Change
HIV, Malaria, HPV
Examples of Recent Publications
Smith, R.A., Quesnell, M., Glick, L, Hackman, N., M'ikanatha, N.M. (2015) Preparing for antibiotic resistance campaigns: a person-centered approach to audience segmentation. Journal of Health Communication; DOI:10.1080/10810730.2015.1018652.
Smith, R.A., M'ikanatha, N.M., Read, A.F. (2014) Antibiotic resistance: a primer and a call to action. Health Communications; DOI: 10.1080/10410236.2014.943634
Smith, R. A. (2014). Infectious Disease Stigmas: Maladaptive in Modern Society. Communication Studies, 65(2), Special Issue on Stigma. DOI: 10.1080/10510974.2013.851096
Smith, R. A., Hernandez, R., & Catona, D. (2013) Investigating Initial Disclosures and Reactions to Unexpected, Positive HPV Diagnosis. Western Journal of Communication. doi: 10.1080/10570314.2013.786120
Smith, R. A., & Findeis, J. (2012). Investigating adopter categories for an agricultural innovation in Mozambique with Latent Class Analysis. Journal of Health Communication. DOI:10.1080/10810730.2012.688249
Smith, R. A. (2012). An experimental test of stigma communication features with a hypothetical infectious disease alert. Communication Monographs, 79, 522-538. DOI:10.1080/03637751.2012.723811
Smith, R. A. & Baker, M. (2012). HIV Stigma and Centrality in the Community’s Network in Namibia. AIDS & Behavior, 16, 525-534. PMID:22327408
Barclay, V. C., Smith, R. A., & Findeis, J. L. (2012). Surveillance considerations for malaria elimination. Malaria Journal. DOI: 10.1186/1475-2875-11-304 http://www.malariajournal.com/content/11/1/304/abstract [highly accessed]
Smith, R. A., & Parrott, R. (2012). Mental representations of HPV in Appalachia: Gender, semantic network analysis, and knowledge gaps. Journal of Health Psychology, 17 [ Also selected for reprint in Psychological Progress as Excellence in Research. http://psychologyprogress.com/mental-representations-of-hpv-in-appalachia-gender-semantic-network-analysis-and-knowledge-gaps/]
Smith, RA, Barclay, VC, & Findeis, JL. (2011). Investigating preferences for mosquito-control technologies in Mozambique with latent class analysis. Malaria Journal, 10:200, doi:10.1186/1475-2875-10-200.
I am a quantitative social scientist who studies how social interactions influence health and well-being. My research focuses on the communication within and the structural patterns of social interactions, and their influence on a variety of health and wellness issues, including infectious disease (a particularly social health context). I also am interested in understanding the systemic diffusion, maintenance, and elimination of beliefs, attitudes, and behaviors that may promote or inhibit health and well-being in domestic and international contexts.
My specific CIDD-related interests include:
- Identifying critical message features and critical people within social networks that facilitate and inhibit the diffusion of beliefs, attitudes, or behaviors related to managing health and well-being
- Identifying impacts of social influence (e.g., social networks, support, norms, and stigma) on communicators' susceptibility to health aliments and immunity
- Developing and extending theoretical models of how communication is used to create and cope with health stigmas, and their implications for infectious disease management
- Optimizing network-based interventions (e.g., opinion leader designs), entertainment-education interventions, and the diffusion and adaptation of evidence-based interventions to new target audiences and communities.
- as a member of the PA Coalition for Antimicrobial Stewardship (PACAS), we are working to understand and promote antibiotic stewardship by the public and in clinical settings.
- with Mary Poss, Roxanne Parrott, Donna Coffman, and Sara Wienke to understand how couples process genetic test results to identify unintended consequences for their relationship and their well-being. The project tests a theoretical model of genomic/genetic medical decisions with couples in which a spouse has been diagnosed with AATD. AATD affects human lungs and liver, which increases the susceptibility and severity of many infections. This analysis lays the groundwork for a future, couple-based intervention to assist couples receiving genomic or genetic test results.