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Bayowa

Bayowa Onabajo

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Modeling Hypertension using ARDL in Washington, D.C.
Regression Using BRFSS & Census Data (2013–2023)
Impact of Structural Socioeconomic Factors on Hypertension Prevalence in U.S.: A Case Study of Washington, D.C. Using ARDL and Spatial Metrics
We examine the temporal and spatial relationships between key socioeconomic factors-poverty rate, unemployment rate, lack of health insurance, and the proportion of the elderly population—and hypertension prevalence in the District of Columbia between 2014 and 2024.