To date, COVID-19 case rates are disproportionately higher in Black and Latinx communities across the US, leading to more hospitalizations, and deaths in those communities. These differences in case rates are evident in comparisons of Chicago neighborhoods with differing race and/or ethnicities of their residents. Disparities could be due to neighborhoods with more adverse health outcomes associated with poverty and other social determinants of health experiencing higher prevalence of SARS-CoV-2 infection or due to greater morbidity and mortality resulting from equivalent SARS-CoV-2 infection prevalence. We surveyed five pairs of adjacent ZIP codes in Chicago with disparate COVID-19 case rates for highly specific and quantitative serologic evidence of any prior infection by SARS-CoV-2 to compare with their disparate COVID-19 case rates. Dried blood spot samples were self-collected at home by internet-recruited participants in summer 2020, shortly after Chicago\'s first wave of the COVID-19 pandemic. Pairs of neighboring ZIP codes with very different COVID-19 case rates had similar seropositivity rates for anti-SARS-CoV-2 receptor binding domain IgG antibodies. Overall, these findings of comparable exposure to SARS-CoV-2 across neighborhoods with very disparate COVID-19 case rates are consistent with social determinants of health, and the co-morbidities related to them, driving differences in COVID-19 rates across neighborhoods.

To investigate preeclampsia etiologies, we examined relationships between greenspace, air pollution, and neighborhood factors. Data were from hospital records and geocoded residences of 77,406 women in San Joaquin Valley, California from 2000 to 2006. Preeclampsia was divided into mild, severe, or superimposed onto pre-existing hypertension. Greenspace within 100 and 500 m residential buffers was estimated from satellite data using normalized difference vegetation index (NDVI). Air quality data were averaged over pregnancy from daily 24-h averages of nitrogen dioxide, particulate matter <10 µm (PM10) and <2.5 µm (PM2.5), and carbon monoxide. Neighborhood socioeconomic (SES) factors included living below the federal poverty level and median annual income using 2000 US Census data. Odds of preeclampsia were estimated using logistic regression. Effect modification was assessed using Wald tests. More greenspace (500 m) was inversely associated with superimposed preeclampsia (OR = 0.57). High PM2.5 and low SES were associated with mild and severe preeclampsia. We observed differences in associations between greenspace (500 m) and superimposed preeclampsia by neighborhood income and between greenspace (500 m) and severe preeclampsia by PM10, overall and among those living in higher SES neighborhoods. Less greenspace, high particulate matter, and high-poverty/low-income neighborhoods were associated with preeclampsia, and effect modification was observed between these exposures. Further research into exposure combinations and preeclampsia is warranted.

Due to dispersal policies applied in many European countries, such as Germany, rural regions are important arrival regions for asylum seekers and refugees. For German policy makers, who have faced a large number of immigrants since 2015, it is crucial that asylum seekers and refugees stay in those rural regions and benefit the development of those areas. This paper addresses the quality and quantity of social contact between refugees and resident populations as a prerequisite for integration and long-term migration-development effects from a social geographical perspective. Drawing from survey data and qualitative interviews, we examine expectations, perceptions and experiences of everyday encounters and social relationships in neighborhoods in small rural towns and villages from the perspective of both local residents and refugees. Our results support arguments from research literature for faster social inclusion in rural areas due to greater nearness, but also obstacles toward the integration of foreigners due to a higher homogeneity of rural neighborhoods and only few experiences of positive everyday contact with foreigners among rural residents. The interviewed refugees display a high level of reflexivity regarding their new neighborhood and how they might be seen by rural residents. Their experiences encompass various forms of social relationships, while social bridges are crucial, ranging from serendipitous encounters and functional interactions to connections based on mutual interest around family issues or cultural aspects. Openness and tolerance from at least some parts of the local population can help immigrants to feel at home, and support staying aspirations, while simultaneously evoking wider social change. A peculiarity of rural areas is the intersectionality with further challenges related to structural changes, encompassing, for instance, socio-demographic and economic restructuring. However, social interactions and opportunities for encounters are only one factor in the development of long-term settlement. More in-depth research is needed to consider the interrelations of both structural contexts and complex and changing needs for personal development in the future, also from an intergenerational perspective.

We assessed the geographic variation in socio-demographics, mobility, and built environmental factors in relation to COVID-19 testing, case, and death rates in New York City (NYC). COVID-19 rates (as of June 10, 2020), relevant socio-demographic information, and built environment characteristics were aggregated by ZIP Code Tabulation Area (ZCTA). Spatially adjusted multivariable regression models were fitted to account for spatial autocorrelation. The results show that different sets of neighborhood characteristics were independently associated with COVID-19 testing, case, and death rates. For example, the proportions of Blacks and Hispanics in a ZCTA were positively associated with COVID-19 case rate. Contrary to the conventional hypothesis, neighborhoods with low-density housing experienced higher COVID-19 case rates. In addition, demographic changes (e.g. out-migration) during the pandemic may bias the estimates of COVID-19 rates. Future research should further investigate these neighborhood-level factors and their interactions over time to better understand the mechanisms by which they affect COVID-19.

Novel approaches must address the underlying factors sustaining the tuberculosis (TB) epidemic in the United States, specifically what maintains new Mycobacterium tuberculosis (Mtb) transmission.
Culture-confirmed TB cases reported to the Michigan Department of Health and Human Services (2004-2012) were analyzed for time-restricted genotypic and/or geospatial clustering. Cases with both types of clustering were used as a proxy for recent, local transmission. Modified, multivariate Poisson regression models were fit to estimate this prevalence in relation to various individual- and neighborhood-level demographic and socio-economic variables.
Those individuals that were spatially clustered were 1.7 times as likely to also be time-restricted genotypically clustered. The prevalence of recent, local transmission was higher among U.S.-born cases, males, and non-Hispanic blacks. Moreover, people living in neighborhoods in the highest poverty quartile had 13.8 times the prevalence of recent, local transmission compared with those in the lowest poverty neighborhoods.
Our results suggest geographic areas with high concentration of TB cases are likely driven by ongoing transmission, rather than enclaves of individuals who have reactivated a case of latent TB. Furthermore, efforts to continue reducing Mtb transmission in the United States, and other low-incidence settings, must better identify community-level sources of risk, manifested through the complex social interactions among people and their environments.

Social isolation and loneliness are increasingly prevalent among older adults in the United States, with implications for morbidity and mortality risk. Little research to date has examined the complex person-place transactions that contribute to social well-being in later life. This study aimed to characterize personal and neighborhood contextual influences on social isolation and loneliness among older adults. Interviews were conducted with independent-dwelling men and women (n = 124; mean age 71 years) in the Minneapolis metropolitan area (USA) from June to October, 2015. A convergent mixed-methods design was applied, whereby quantitative and qualitative approaches were used in parallel to gain simultaneous insights into statistical associations and in-depth individual perspectives. Logistic regression models predicted self-reported social isolation and loneliness, adjusted for age, gender, past occupation, race/ethnicity, living alone, street type, residential location, and residential density. Qualitative thematic analyses of interview transcripts probed individual experiences with social isolation and loneliness. The quantitative results suggested that African American adults, those with a higher socioeconomic status, those who did not live alone, and those who lived closer to the city center were less likely to report feeling socially isolated or lonely. The qualitative results identified and explained variation in outcomes within each of these factors. They provided insight on those who lived alone but did not report feeling lonely, finding that solitude was sought after and enjoyed by a portion of participants. Poor physical and mental health often resulted in reporting social isolation, particularly when coupled with poor weather or low-density neighborhoods. At the same time, poor health sometimes provided opportunities for valued social engagement with caregivers, family, and friends. The combination of group-level risk factors and in-depth personal insights provided by this mixed-methodology may be useful to develop strategies that address social isolation and loneliness in older communities.

Spatial differences in urban environmental conditions contribute to health inequalities within cities. The purpose of the paper is to map environmental inequalities relevant for health in the City of Dortmund, Germany, in order to identify needs for planning interventions. We develop suitable indicators for mapping socioeconomically-driven environmental inequalities at the neighborhood level based on published scientific evidence and inputs from local stakeholders. Relationships between socioeconomic and environmental indicators at the level of 170 neighborhoods were analyzed continuously with Spearman rank correlation coefficients and categorically applying chi-squared tests. Reclassified socioeconomic and environmental indicators were then mapped at the neighborhood level in order to determine multiple environmental burdens and hotspots of environmental inequalities related to health. Results show that the majority of environmental indicators correlate significantly, leading to multiple environmental burdens in specific neighborhoods. Some of these neighborhoods also have significantly larger proportions of inhabitants of a lower socioeconomic position indicating hotspots of environmental inequalities. Suitable planning interventions mainly comprise transport planning and green space management. In the conclusions, we discuss how the analysis can be used to improve state of the art planning instruments, such as clean air action planning or noise reduction planning towards the consideration of the vulnerability of the population.

The study of neighborhood characteristics and their effects on individuals has become an area of increasing attention by scholars from various disciplines in developed countries. Although there are various methods to study neighborhoods and their impact on human populations, one of the most used is the Systematic Social Observation -Observación Sistemática de Vecindarios (OSV), in Spanish-because it allows the collection of information about various features of the physical, social, environmental and economic characteristics of neighborhoods. The purpose of this article is to (i) briefly present some research on neighborhood effects influential in the U.S., ii) describe how they Systematic Social Observation was designed and implemented in the city of Santiago, Chile, iii) discuss some facilitators and obstacles of the implementation process and, finally iv) list possible contributions and limitations this approach would offer the profession of social work in Chile.

Decreasing access to competitive foods in schools has produced only modest effects on adolescents\' eating patterns. This qualitative case study investigated persistent barriers to healthful eating among students attending an ethnically diverse middle school in a working-class urban neighborhood that had banned on campus competitive food sales. Participant observations, semi-structured interviews and document reviews were conducted. Unappealing school lunches and easily accessible unhealthful foods, combined with peer and family influences, increased the appeal of unhealthy foods. Areas for further inquiry into strategies to improve urban middle school students\' school and neighborhood food environments are discussed.

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