A5081002322- Global Cancer Incidence and Screening
- Obesity and Health Practices
- Data-Driven Disease Surveillance
- Glaucoma and retinal disorders
- Eating Disorders and Behaviors
- Healthcare cost, quality, practices
- Misinformation and Its Impacts
- SARS-CoV-2 and COVID-19 Research
- Retinal Imaging and Analysis
- Health disparities and outcomes
- Food Security and Health in Diverse Populations
- Vaccine Coverage and Hesitancy
- Obesity, Physical Activity, Diet
- COVID-19 Digital Contact Tracing
- Global Maternal and Child Health
- Chronic Disease Management Strategies
- Health Promotion and Cardiovascular Prevention
- Migration, Health and Trauma
- COVID-19 epidemiological studies
- Retinal Diseases and Treatments
University of Houston - Clear Lake
2022-2025
University of Washington
2024
University of Iowa
2024
Oregon Health & Science University
2024
Lurie Children's Hospital
2024
Johns Hopkins University
2024
Boston University
2024
University School
2024
North Carolina Central University
2023
William Paterson University
2023
The adverse impact of COVID-19 on marginalized and under-resourced communities color has highlighted the need for accurate, comprehensive race ethnicity data. However, a significant technical challenge related to integrating data in large, consolidated databases is lack consistency how about are collected structured by health care organizations.This study aims evaluate describe variations systems collect report information their patients assess well these integrated when aggregated into...
Summary Objective This study aimed to explore the relationships between self‐perception of weight status, weight‐related variables, and management preferences South Asians (SA) assist in building culturally tailored interventions for obesity management. Methods was a cross‐sectional, descriptive, correlational study. The sample consisted 272 over 18 years age. Data analyses included descriptive inferential statistics. Results Based on ethnic‐specific BMI criteria, 88.6% participants were...
Abstract Objective This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses. Materials Methods Using an original (n = 1 854 968 severe acute respiratory syndrome 2 tests) its derivative, we compared key indicators of COVID-19 community spread through analysis aggregate zip code-level curves, patient characteristics outcomes, distribution tests by code, indicator counts...
Abstract Background: This research delves into the confluence of racial disparities and health inequities among individuals with disabilities, a focus on those contending both diabetes visual impairment. Methods: Utilizing data from TriNetX Research Network, which includes electronic medical records roughly 115 million patients 83 anonymous healthcare organizations, this study employs directed acyclic graph (DAG) to pinpoint confounders augment interpretation. We identified impairments using...
Abstract Black women in the United States experience a higher maternal mortality rate compared to other racial groups. The among non‐Hispanic is 3.5 times that of White and South regions. majority pregnancy‐related deaths are deemed be preventable. Healthy People 2030 directs healthcare providers advance health equity through societal efforts address avoidable inequalities, historical contemporary injustices, elimination disparities. Southern Nursing Research Society has put forward this...
Although COVID-19 is a highly infectious disease, vaccine hesitancy remains primary barrier to attaining full population inoculation. Numerous factors related have been identified. The aim of this study was explore associations between select demographic variables and among Asian Indians in the United States.
<sec> <title>BACKGROUND</title> A significant technical challenge related to integrating race and ethnicity data across EHR systems is the lack of consistency in how about collected structured by healthcare organizations. </sec> <title>OBJECTIVE</title> To evaluate describe variations collect report information their patients, these are integrated when it aggregated into a large clinical database. <title>METHODS</title> At time our analysis, National COVID Cohort Collaborative (N3C) Data...