Hesitancy toward the COVID-19 vaccine has hindered its rapid uptake among the Hispanic and Latinx populations. The study aimed to use the Multi-Theory Model (MTM) for health behavior change to explain the intention of initiating and sustaining the behavior of COVID-19 vaccination among the Hispanic and Latinx populations that expressed and did not express hesitancy towards the vaccine in Nevada. Using a quantitative cross-sectional and survey-based research study design, data were collected using a 50-item questionnaire and analyzed using multiple linear regression modeling. Of 231 respondents, participatory dialogue (b = 0.113, p < 0.001; b = 0.072, p < 0.001) and behavioral confidence (b = 0.358, p < 0.001; b = 0.206, p < 0.001) displayed significant associations with the initiation of COVID-19 vaccine acceptance among vaccine-hesitant and non-vaccine-hesitant individuals. Emotional transformation (b = 0.087, p < 0.001; b = 0.177, p < 0.001) displayed a significant association with the sustenance of COVID-19 vaccine acceptance among vaccine-hesitant and non-vaccine-hesitant individuals. Results from this study provide evidence that the MTM is a useful tool in predicting COVID-19 vaccine acceptance behavior among Hispanics and Latinxs in Nevada, and it should be used in intervention designs and messaging to promote vaccine uptake.

Background and Purpose: While impacts of the pandemic on family well-being have been documented in the literature, little is known about the psychological challenges faced by children and their parents as schools reopen after mandated closures. Therefore, the purpose of this study was to determine if sending children back to in-person school impacts the mental health of parents and the perceived mental health of their children. Methods: This cross-sectional descriptive study recruited a nationally representative, non-probability sample of parents or guardians (n = 2100) of children attending grades K-12 in the United States (U.S.) through a 58-item web-based survey. The univariate, bivariate, and multivariate statistical tests were used to analyze the data. Results: The mean scores of parental Coronavirus anxiety and Coronavirus obsession were significantly different between race/ethnic groups of parents. Parents with children going to private schools had significantly higher mean scores for Coronavirus anxiety and obsession compared to parents whose children are attending public schools. Nearly 55% of parental Coronavirus anxiety was explained by the generalized anxiety, separation anxiety, child’s vulnerability to infection, and school type of the child. Similarly, 52% of parental Coronavirus obsession was explained by the generalized anxiety, separation anxiety, child’s vulnerability to infection, and social phobia of the children. Conclusions: The COVID-19 pandemic has a substantial impact on psychological well-being of parents and their school-going children. Findings of this study will inform policy makers in developing targeted interventions to address unique needs of families with school-going children.

This paper introduces a novel framework that integrates agent-based mobility simulation with social network analysis to model epidemic diffusion, using Las Vegas as a high-stakes test bed. By mining real-world transportation, demographic, and geographic data, we construct a high-resolution, dynamic contact network that captures the heterogeneous interactions among key subpopulations. Applying graph theory and diffusion modeling to this evolving network demonstrates that epidemic risk is structurally determined by critical transmission hotspots (major resorts, transport hubs) and is highly sensitive to the initial seeding location, with an introduction at the airport leading to a far more explosive outbreak than one in a residential zone. We demonstrate how distinct population groups play unique network roles: tourists act as primary importation vectors, while hospitality workers serve as crucial bridging nodes between otherwise disconnected clusters. The model also shows how some agents achieve “immunity by circumstance” due to mobility patterns that isolate them from high-traffic areas. Our experiments prove that targeted interventions, such as capacity limits at identified hotspots, substantially outperform universal restrictions. The framework validated in Las Vegas provides a transferable tool for strategic epidemic preparedness, offering a new paradigm for data-driven public health policy applicable to any globally connected urban center.