Background: Mobile digital wellness and health apps play a significant role in optimizing health and aiding in cancer management and decision-making. Objective: This study aims to identify the factors influencing the use of mobile health and wellness apps among cancer information seekers in the United States. Methods: We conducted a cross-sectional study using data from the Health Information National Trends Survey. Our analysis focused on 4770 participants who sought cancer information. We performed weighted univariate and multivariable logistic regression to determine the association between the use of health and wellness apps and socioeconomic factors, medical history and conditions, and lifestyle and behavioral factors. Results: A total of 4770 participants who sought cancer information were included in the final analysis. Of these, 80.9% (n=2705) were health and wellness app users, while 19.1% (n=793) were nonusers. In the final adjusted model, participants with household incomes ≥US $50,000 had 49% higher adjusted odds of using these apps than those with incomes <US $50,000 (adjusted odds ratio [aOR]=1.49, 95% CI 1.02-2.14). College graduates and those with higher educational levels were avid users compared to those with a high school diploma or less (aOR=1.87, 95% CI 1.30-2.67). Internet users had over 3 times the odds of using these apps compared to nonusers (aOR=3.28, 95% CI 1.70-6.33). Participants within the age group 18-34 years were 3.70 times more likely (aOR=3.70, 95% CI 1.90-7.23) to use a health and wellness app compared to participants within the age group of 75 years and older. Conclusions: Age, education, household income, and use of the internet are the major determinants of the adoption of digital health and wellness apps among seekers of cancer information. Hence, public health programs could be directed toward addressing these factors to improve cancer diagnosis, treatment, and management using these apps.

Norovirus is a leading cause of acute gastroenteritis in the United States imposing a significant burden on public health and the economy. Its highly contagious nature and ability to persist in the environment make norovirus a persistent challenge in healthcare, educational, and food service settings. The lack of specific antiviral treatments or licensed vaccines complicates management efforts, leaving prevention strategies reliant on hygiene practices, food safety measures, and outbreak control protocols. Emerging research into vaccine development and novel mitigation approaches offers promise but remains in the early stages. This review synthesizes current knowledge on norovirus impact and management in the United States, emphasizing the need for enhanced surveillance, policy reforms, and public awareness to reduce its prevalence and mitigate future outbreaks.

Guaranteeing durability, provenance, accessibility, and trust in open datasets can be challenging for researchers and organizations that rely on public repositories of data critical to epidemiology and other health analytics. Not only are the required repositories sometimes difficult to locate, and nearly always require conversion into a compatible format, they may move or change unpredictably. Any single change of the rules in one repository can hinder updating of a public dashboard reliant on pulling data from external sources. These concerns are particularly challenging at the international level, because systems aimed at harmonizing health and related data are typically dictated by national governments to serve their individual needs. In this paper, we introduce a comprehensive public health data platform, the EpiGraphHub, that aims to provide a single interoperable repository for open health and related data, curated by the international research community, which allows secure local integration of sensitive databases whilst facilitating the development of data-driven applications and reports for decision-makers. The platform development is co-funded by the World Health Organization and is fully open-source to maximize its value for large-scale public health studies.

While the association between food insecurity and adolescent obesity is well-established, the mechanisms through which these co-occurring public health crises are linked remain inadequately understood. Using the Social Ecological Model as a theoretical framework, this study examines how individual (physical activity), interpersonal (household food security), community (poverty level, residence), and societal (race/ethnicity) factors interact to influence adolescent weight outcomes. Cross-sectional data from 37,425 adolescents aged 12–17 years in the 2022–2023 National Survey of Children’s Health using weighted multinomial logistic regression with interaction terms were used. Adolescents experiencing nutrition insecurity (adequate quantity but poor-quality food) had 41% higher odds of obesity (adjusted odds ratio (aOR) = 1.41; 95% CI: 1.20–1.65), while those with food insecurity (insufficient quantity) had 48% higher odds (aOR = 1.48; 95% CI: 1.08–2.02) compared to food-secure peers. Significant effect modification emerged across ecological levels: poverty below the 200% federal poverty level (FPL) significantly amplified the food insecurity–obesity relationship (interaction p < 0.001), Hispanic and Black adolescents demonstrated 49% and 78% higher obesity odds, respectively, independent of household food and nutrition security status, and physical activity showed protective effects that varied by food security context (interaction p = 0.003). These findings underscore the necessity of multi-level interventions addressing structural inequities alongside individual behaviors to combat adolescent obesity in food-insecure populations effectively.