Examining Mental Health Disorders in Overweight and Obese Pediatric Patients.

Introduction: We investigated the frequency and variation in three mental health diagnoses among obese or overweight children and adolescents.

Method: Logistic regression was used to examine the association between the outcome variables-anxiety, depression, and adjustment disorders-with the following covariates: overweight/obesity status, sex, age, and race.

Results: Findings show anxiety, depressive, and adjustment disorder diagnoses were significantly higher for overweight or obese youth in our sample.

Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA.

COVID-19 impacted hospital systems across the globe. Focus shifted to responding to increased healthcare demand while mitigating COVID-19 spread on their campuses. Mitigation efforts limited medical professional-patient interactions, including patient access to preventive cancer screenings.

Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic?

Community vulnerability is widely viewed as an important aspect to consider when modeling disease. Although COVID-19 does disproportionately impact vulnerable populations, human behavior as measured by community mobility is equally influential in understanding disease spread. In this research, we seek to understand which of four composite measures perform best in explaining disease spread and mortality, and we explore the extent to which mobility account for variance in the outcomes of interest.

Using spatial and temporal modeling to visualize the effects of U.S. state issued stay at home orders on COVID-19.

Coronavirus disease 2019 dominated and augmented many aspects of life beginning in early 2020. Related research and data generation developed alongside its spread. We developed a Bayesian spatio-temporal Poisson disease mapping model for estimating real-time characteristics of the coronavirus disease in the United States.