Donglan Zhang
University of Georgia
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Publication
Featured researches published by Donglan Zhang.
Preventing Chronic Disease | 2016
Yan Li; Mark Lawley; David S. Siscovick; Donglan Zhang; José A. Pagán
The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions.
Medical Care | 2017
Donglan Zhang; Guijing Wang; Jing Fang; Carla Mercado
Background: Hyperlipidemia is a major risk factor for cardiovascular disease (CVD), affecting 73.5 million American adults. Information about health care expenditures associated with hyperlipidemia by CVD status is needed to evaluate the economic benefit of primary and secondary prevention programs for CVD. Methods: The study sample includes 48,050 men and nonpregnant women ≥18 from 2010 to 2012 Medical Expenditure Panel Survey. A 2-part econometric model was used to estimate annual hyperlipidemia-associated medical expenditures by CVD status. The estimation results from the 2-part model were used to calculate per-capita and national medical expenditures associated with hyperlipidemia. We adjusted the medical expenditures into 2012 dollars. Results: Among those with CVD, per person hyperlipidemia-associated expenditures were
American Journal of Preventive Medicine | 2017
John M. Chapel; Matthew Ritchey; Donglan Zhang; Guijing Wang
1105 [95% confidence interval (CI),
Preventive Medicine | 2018
Yan Li; Donglan Zhang; Janani R. Thapa; Kumbirai Madondo; Stella S. Yi; Elisa M. Fisher; Kerry Griffin; Bian Liu; Youfa Wang; José A. Pagán
877–
Preventing Chronic Disease | 2016
Yan Li; Mark Lawley; David S. Siscovick; Donglan Zhang; José A. Pagán
1661] per year, leading to an annual national expenditure of
International Journal of Epidemiology | 2018
Zhijuan Cao; Jing Hua; Donglan Zhang; Janani R. Thapa; Shumei Wang
15.47 billion (95% CI,
Journal of Rural Health | 2017
Aishah Khan; Janani R. Thapa; Donglan Zhang
5.23–
American Journal of Preventive Medicine | 2017
Donglan Zhang; Guijing Wang; Ping Zhang; Jing Fang; Carma Ayala
27.75 billion). Among people without CVD, per person hyperlipidemia-associated expenditures were
American Journal of Preventive Medicine | 2017
Donglan Zhang; Yan Li; Guijing Wang; Andrew E. Moran; José A. Pagán
856 (95% CI,
American Journal of Preventive Medicine | 2017
Donglan Zhang; Guijing Wang; Heesoo Joo
596–