Impact of COVID-19 on health disparities between migrant and non-migrant households: the case of Dearborn, Michigan.

OBJECTIVES: Studies on immigration have shown that cultural changes can positively or negatively affect psychological, behavioral, and physical outcomes when different cultures settle into a new host community or country. The majority of research done in the United States and North America has focused on these changes for larger immigrant and minority groups such as Hispanics/Latinos and Asians. However, in the United States, there is a sub-group of immigrants that is largely understudied, resulting in misunderstood data on mental and physical health: Arab Americans. This study assesses mental health disparities between immigrant and non-immigrant populations, before and after COVID-19 restrictions, in Dearborn, MI, a city that has one of the largest concentrations of Arab immigrants in the nation. DESIGN: Using an online survey instrument, this study assessed mental health disparities before and since COVID-19 restrictions, and stressors induced since the pandemic for immigrants and non-immigrants in Dearborn, MI. RESULTS: Through inferential statistics and logistic regressions, results indicate that immigrants are less likely to have healthcare coverage, have lower annual incomes, lower educational attainment, and experience continuously higher mental health issues before the pandemic than non-immigrants faced during the pandemic. CONCLUSION: This study reinforces that the Arab-American immigrant population is a disadvantaged sub-group and faces considerable stress and mental health concerns as an acculturating population. This stress gets exacerbated when a worldwide event such as the COVID-19 pandemic strikes. Oversight of this population's health issues results in the inability to receive appropriate social services and healthcare that is vital to address this community's concerns.

Using Space Syntax Analysis to Measure Patient Aggression Risk.

OBJECTIVES: The present study investigates whether space syntax offers appropriate tools for identifying risks of aggression, interventional opportunities, and environmental design strategies to reduce the risk of Type II violence in emergency departments. BACKGROUND: Although healthcare workers are a relatively small percentage of the U.S. workforce, they sustain almost 75% of workplace assaults. Poor environmental design has been identified as an antecedent to aggression by patients and/or their companions. METHOD: Guided by Rational Choice Theory, Lifestyle Exposure Theory, Routine Activity Theory, and Crime Prevention through Environmental Design (CPTED), the study uses five visibility graph analysis (VGA) measures: visibility, control, controllability, mean visual depth, and occlusivity. Three U.S. hospital-based emergency departments were selected. First, a VGA was performed on all three layouts. A second VGA was performed after excluding unconnected spaces, and a third was performed on key patient and staff areas. Last, a fourth VGA was conducted after performing physical modifications to the three departments. RESULTS: Statistical analysis revealed significant differences in VGA measures not only between different layouts but also between the original and modified layouts. Specifically, small changes created by architectural features can affect visual access and exposure as measured by space syntax. Alcove-style spaces in key staff areas are also associated with limited visual control of the local environment. Typically, in smaller zones, central staff workstations afford better control of patient spaces. CONCLUSION: This study shows that space syntax analysis is a useful tool for identifying risks of aggression in hospital spaces and for identifying interventional opportunities.

The impact of living in an un- or under-furnished house on individuals who transitioned from homelessness.

Very few empirical evaluations have been conducted on the impact of furniture on the lives of those who have transitioned from homelessness into permanent housing, especially within the United States. Our study contributes to this limited body of research by exploring the impact of furniture on the lives of 20 recently housed individuals residing in the Detroit Metropolitan Area. In partnership with the Furniture Bank of Southeast Michigan, we conducted semi-structured interviews with recently housed individuals that lived for a period of time in an un- or under-furnished house before receiving furniture support. Given the study's exploratory nature, interview questions were purposefully broad to allow themes to naturally emerge and were analyzed using a qualitative data analysis software package, NVivo (release 1.0). We present a conceptual model that outlines our findings and conclude with a discussion of the limitations of our approach, avenues for future research, and policy implications.

Measuring the Effect of Visual Exposure and Saliency of Museum Exhibits on Visitors' Level of Contact and Engagement.

This paper examines visitors' movement patterns at the Broad Museum designed by Zaha Hadid. Characterized with free, open, and generally unbound spaces, visitors explore a curated exhibition at their own pace, route, and agenda. Unlike most other public environments, a museum lends visitors greater choice and control, and does not hold the social or spatial expectations of other facility types that might subject the visitor's path of travel. In this study, 72 visitors were observed. A space syntax-based visibility graph analysis (VGA) was then performed to compute the visibility exposure and the spatial position of each exhibit within the museum. Negative binomial regression was used to look at the effects of spatial variables on visitors' wayfinding, contact, and engagement with the pieces. Results showed that both the amount of visibility area around each exhibit, and its spatial position measured using space syntax techniques explained why visitors established a contact with the piece and their wayfinding behavior. Interestingly, however, the saliency of exhibits along with spatial variables were both strong predictors for why people arriving in groups split to engage with that particular exhibit. The simulation used in this study could be useful in curatorial decisions.