Strategic Growth Area: Equity and Social Disparity in the Human Condition (ESDHC)

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https://hdl.handle.net/10919/79471
ESDHC explores and analyzes crucial issues related to diversity, especially those highlighted through the application of the analytical lens of intersectionality, emphasizes the simultaneous possession of multiple identities for all human beings, producing unique interactions among the identities and factors such as place and social institutions that have implications for experience and life chances. Scholarship about social disparities and difference in the human condition build on VT strengths in the areas of Health and the Environment, Identities and Culture, and Institutions, Organizations, and Policy (e.g., education, political and policy systems, businesses, and markets). Thematic areas include food security and systems, the built environment, the natural environment, sustainable global prosperity, public health, or innovative technologies.

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Browsing Strategic Growth Area: Equity and Social Disparity in the Human Condition (ESDHC) by Author "Ali, Mir M."

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    Understanding racial disparities in severe maternal morbidity using Bayesian network analysis
    Rezaeiahari, Mandana; Brown, Clare C.; Ali, Mir M.; Datta, Jyotishka; Tilford, J. Mick (PLoS, 2021-10-01)
    Previous studies have evaluated the marginal effect of various factors on the risk of severe maternal morbidity (SMM) using regression approaches. We add to this literature by utilizing a Bayesian network (BN) approach to understand the joint effects of clinical, demographic, and area-level factors. We conducted a retrospective observational study using linked birth certificate and insurance claims data from the Arkansas All-Payer Claims Database (APCD), for the years 2013 through 2017. We used various learning algorithms and measures of arc strength to choose the most robust network structure. We then performed various conditional probabilistic queries using Monte Carlo simulation to understand disparities in SMM. We found that anemia and hypertensive disorder of pregnancy may be important clinical comorbidities to target in order to reduce SMM overall as well as racial disparities in SMM.