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Identifying areas with low access to testing and high case burden is necessary to understand risk and allocate resources in the COVID-19 pandemic. Using zip code level data for New York City, we analyzed testing rates, positivity rates, and proportion positive. A spatial scan statistic identified clusters of high and low testing rates, high positivity rates, and high proportion positive. Boxplots and Pearson correlations determined associations between outcomes, clusters, and contextual factors. Clusters with less testing and low proportion positive tests had higher income, education, and white population, whereas clusters with high testing rates and high proportion positive tests were disproportionately black and without health insurance. Correlations showed inverse associations of white race, education, and income with proportion positive tests, and positive associations with black race, Hispanic ethnicity, and poverty. We recommend testing and health care resources be directed to eastern Brooklyn, which has low testing and high proportion positives., (Copyright © 2020. Published by Elsevier Ltd.)

In this case study, a formative evaluation was conducted for "Promoting Food Security and Healthy Lifestyles" pilot intervention at a Community-Based Organization in a marginalized neighborhood in Bedford-Stuyvesant in New York City. Utilizing a rigorous, theoretically grounded, and mixed methods approach, a survey was designed to encompass the social, environmental, and behavioral determinants of food insecurity and health promotion for Emergency Food Assistance System users. The final survey tested well for face and content validity and meets the criteria for internal reliability. This will aid to develop culturally tailored programs and policies for low-income, food insecure populations facing social and health disparities in this large urban neighborhood.

Low-income populations, minorities, and children living in inner cities have high rates of asthma. Recent studies have emphasized the role of psychosocial stress in development of asthma. Residence in unsafe neighborhoods is one potential source of increased stress. The study objective was to examine the association between parental perception of neighborhood safety and asthma diagnosis among inner city, minority children. Cross-sectional data from a community-based study of 6-8-year-old New York City children were used. Asthma was defined as parental report of physician-diagnosed asthma and at least one asthma-related symptom. Parental perceptions of neighborhood safety were assessed with a questionnaire. Associations between perceived neighborhood safety and asthma were examined using chi-squared tests. Multivariate logistic regression analyses were then performed. Five hundred four children were included with 79% female, 26.5% non-Hispanic Black, and 73.5% Hispanic. Asthma was present in 23.8% of children. There was an inverse association between feeling safe walking in the neighborhood and asthma with 45.7% of parents of asthmatic children reporting they felt safe compared to 60.9% of parents of non-asthmatic children (p = 0.006). Fewer parents of asthmatic children than of non-asthmatic children reported that their neighborhood was safe from crime (21.7% versus 33.9%, p = 0.018). In multivariate analyses adjusting for race/ethnicity, age, gender, socioeconomic status, number of smokers in the home and breastfeeding history, parents reporting feeling unsafe walking in the neighborhood were more likely to have a child diagnosed with asthma (OR = 1.89, 95%CI 1.13-3.14). Psychosocial stressors such as living in unsafe neighborhoods may be associated with asthma diagnosis in urban ethnic minority children. Addressing the increased asthma burden in certain communities may require interventions to decrease urban stressors.