Journal of urban health : bulletin of the New York Academy of Medicine
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Comparative Study
COVID-19 and Inequity: a Comparative Spatial Analysis of New York City and Chicago Hot Spots.
There have been numerous reports that the impact of the ongoing COVID-19 epidemic has disproportionately impacted traditionally vulnerable communities associated with neighborhood attributes, such as the proportion of racial and ethnic minorities, migrants, and the lower income households. The goal of this ecological cross-sectional study is to examine the demographic and economic nature of spatial hot and cold spots of SARS-CoV-2 rates in New York City and Chicago as of April 13, 2020 using data from the New York City Department of Health and Mental Hygiene, Illinois Department of Public Health, and the American Community Survey. In both cities, cold spots (clusters of low SARS-CoV-2 rate ZIP code tabulation areas as identified by the Getis-Ord (GI*) statistic) demonstrated social determinants of health characteristics typically associated with better health outcomes and the ability to maintain physical distance ("social distancing"). ⋯ Findings suggest important differences between the cities' hot spots as well. NYC hot spots can be described as working-class and middle-income communities, perhaps indicative of greater concentrations of service workers and other occupations (including those classified as "essential services" during the pandemic) that may not require a college degree but pay wages above poverty levels. Chicago's hot spot neighborhoods, on the other hand, are among the city's most vulnerable, low-income neighborhoods with extremely high rates of poverty, unemployment, and non-Hispanic Black residents.
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Studies of the effect of neighborhood poverty on health are dominated by research designs that measure neighborhood poverty at a single point in time, ignoring the potential influence of exposure to neighborhood poverty over the life course. Applying latent class analysis to restricted residential history data from the National Longitudinal Survey of Youth, 1979 Cohort, we identify four trajectories of life-course exposure to high-poverty neighborhoods between adolescence and midlife and then examine how these groups differ in their physical health conditions (SF-12 score) and self-rated health at around age 40. Linear and logistic regression analyses show that life-course exposure to high-poverty neighborhoods is a stronger predictor of midlife physical health than are point-in-time measures of neighborhood poverty observed during either adolescence or midlife. Our findings suggest that a life-course approach can enhance our understanding of how neighborhood poverty affects physical health.
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U. S. Immigration and Customs Enforcement (ICE) facilities house thousands of undocumented immigrants in environments discordant with the public health recommendations to reduce the transmission of 2019 novel coronavirus (COVID-19). ⋯ We determined that, in the most optimistic scenario, coronavirus outbreaks among a minimum of 65 ICE facilities (59%) would overwhelm ICU beds within a 10-mile radius and outbreaks among a minimum of 8 ICE facilities (7%) would overwhelm local ICU beds within a 50-mile radius over a 90-day period, provided every ICU bed was made available for sick detainees. As policymakers seek to rapidly implement interventions that ensure the continued availability of life-saving medical resources across the USA, they may be overlooking the pressing need to slow the spread of COVID-19 infection in ICE's detention facilities. Preventing the rapid spread necessitates intervention measures such as granting ICE detainees widespread release from an unsafe environment by returning them to the community.
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Exposure to extreme heat contributes to high morbidity and mortality relative to other climate hazards. The city of Philadelphia, PA is particularly vulnerable to the impacts of extreme heat, due to the urban heat island effect and high prevalence of sensitive populations. ⋯ An interactive website was created to display the maps and allow the public to navigate the data with links to potential resources for relief from extreme heat days. Such methods can be adapted for other cities that wish to identify and target long-term priority areas.
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Neighborhood conditions are associated with health outcomes, but whether individual health behaviors are independent of or associated with the settings are not clear. We analyzed the California Health Interview Survey (CHIS) (N = 11,152) data to determine if the perceptions and behaviors of similar individuals with an income low enough to be eligible for SNAP-Ed services differed based on whether they lived in high- or low-income neighborhoods. We found that SNAP-Ed eligible individuals living in low-income neighborhoods walked for transportation more frequently (3.04 times versus 2.38 times, p = 0.001), drank sugary beverages more frequently in the past month (2.93 times versus 1.69 times, p = 0.000), and had a higher risk of obesity than similar low-income individuals living in high-income neighborhoods (0.34 versus 0.26, p = 0.012).