About Sam Gailey
I am a Population Health Postdoctoral Fellow in the Minnesota Population Center at the University of Minnesota. My interdisciplinary research integrates methods and theory from the health and social sciences to understand how residential environments "get under the skin" and shape socioeconomic and racial disparities.
Much of my work leverages longitudinal and geospatial data from population-based registers to identify health disparities arising from the unequal distribution of neighborhood resources. My dissertation, for example, investigated how access to parks can reduce maternal and perinatal health disparities through processes ranging from stress reduction to mitigation of environmental hazards. I have extensive experience synthesizing large health datasets from diverse sources and countries, including the US, Denmark, and Saudi Arabia.
Neighborhoods and Health | Social Mobility | Restorative Environments
Maternal and Perinatal Epidemiology | Quantitative Methods
Population Healh Postdoctoral Fellow
Researcher focusing on complex health problems and disparities resulting from multiple interacting layers of influence. Current projects explore health behaviors and outcomes associated with residential mobility and access to neighborhood resources.
Consultant to The World Bank
Quantitative data analyst using epidemiologic models to project the healthcare workforce required to treat the population health needs of Saudi Arabia; co-write reports for peer-reviewed publications.
B.A. with Highest Honors
Majors: Psychology, Organization and Management Studies
Honor's Thesis: A Critical Examination of 'Enclothed' and Embodied Cognition
- Gailey, S., Knudsen, E.S., Mortensen, L.H., & Bruckner, T. (accepted). Birth outcomes following unexpected job loss: A matched sibling design. International Journal of Epidemiology.
- Gailey, S., Cross, R.I., Messer, L.C., & Bruckner, T.A. (2021). Characteristics associated with downward residential mobility among birthing persons in California. Social Science & Medicine, 279, 113962. link to paper
- Bruckner, T.A., Gailey, S., Das, A., Gemmill, A., Casey, J.A., Catalano, R., & Shaw, G.M. (2021). Stillbirth as left truncation for early neonatal death in California, 1989-2015: A time-series study. BMC Pregnancy and Childbirth 21(1), 1-9. link to paper
- Gailey, S., Bruckner, T.A., Lin, T.K., Liu, J.X., Herbst, C. (2021). A needs-based methodology to project physicians and nurses to 2030: The case of the Kingdom of Saudi Arabia. Human Resources for Health, 19(55). link to paper
- Gailey, S.,McElroy, S., Benmarhnia, T., & Bruckner, T.A. (2021). Green mobility and obesity: A longitudinal analysis of neighborhood greenness in California. Health & Place, 68, 102503. link to paper
- Gailey, S., & Bruckner, T. (2019). Obesity among Black women in food deserts: An "omnibus" test of differential risk. Social Science and Medicine-Population Health, 7, 100363. link to paper
- Bruckner, T.A., Buher-Kane, J., & Gailey, S. (2019). Strong upward neighborhood mobility and preterm birth: A matched-sibling design approach. Annals of Epidemiology, 36, 48-54. link to paper
- Bruckner, T.A., Gailey, S., Hallman, S., Amorevieta-Gentil, M., Dillon, L., & Gagnon, A. (2018). Epidemic cycles and environmental pressure in colonial Quebec. American Journal of Human Biology, 30(5), e23155. link to paper
- Bruckner, T.A., Gailey, S., Alluhidan, M., Tashkandi, N., Lin, T.C., Liu, J.X., Hamza, M.M., & Alghodaier, H. A need-based approach to projecting physicians and nurses required in Saudi Arabia. In A Labor Market Assessment of Nurses and Physicians in Saudi Arabia: Projecting Imbalances between Need, Supply, and Demand. International Development in Focus. Washington, DC: World Bank.
Under Review & In Preparation
- Gailey, S., NCube, C., & Bruckner, T. A. (2020). Residential mobility and preterm birth among non-Hispanic Black women in California. Under review.
- Gailey, S. Maternal race/ethnicity moderates the association between changes in residential greenness and birthweight. In preparation.
- Gailey, S. Green selection: Pre-move characteristics and changes in socioeconomic position associated with green mobility. In preparation.