Environmental and Mobility Strategies During Early COVID-19: Insights From an Empirical Study Focusing on Park Visitations in El Paso, TX.

OBJECTIVES: We explored the importance of environmental and mobility strategies during early COVID-19 by age and ethnicity and investigated predictors of park visitations considering the COVID-19 impacts. BACKGROUND: Parks are safe and accessible venues to stay active and reduce social isolation, which is especially important considering COVID-19 and the associated lockdowns. METHODS: We analyzed online survey data from 683 residents (collected July 2020) of El Paso, TX, and objective measures of neighborhood park characteristics. Chi-square tests and mixed-effects logistic regression analyses were performed to examine the environmental/mobility strategies, personal and environmental factors, and park visitations, considering the COVID-19 impacts. RESULTS: The percentage of those who visited (1+ times/week) parks or trails/paths in the neighborhood dropped from 41.7% to 19.5% since the start of COVID-19 (OR = 0.015, p < .001). Before COVID-19, middle-aged and older adults were less likely to visit parks than younger adults, while this difference became insignificant during early COVID-19. Hispanic adults were more likely to visit parks than non-Hispanics both before and during early COVID-19. Positive environmental predictors of park visitations included park availability in the neighborhood, proximity to the closest park, seeing people being physically active in the neighborhood, and neighborhood aesthetics. CONCLUSIONS: Proximately located parks, trails, and paths well integrated into residential communities, and high aesthetic quality of the neighborhood are the potential features of pandemic-resilient communities and should be considered an important national priority to maintain and promote the health and well-being of the population, especially during pandemics like COVID-19.

Population-Level Disease Prevalence Rates Correlate With COVID-19 Mortality.

INTRODUCTION: Initial reports identified preexisting conditions associated with COVID-19 mortality risk. The Centers for Disease Control and Prevention (CDC) 500 Cities Project provides prevalence rate estimates at the census tract level for these conditions. The frequency of these individual condition prevalence rates may associate with the census tracts with greater risk of COVID-19 deaths. OBJECTIVE/RESEARCH QUESTION: Can the census tract-level outcome of Milwaukee County COVID-19 death rates correlate with the census tract-level COVID-19 individual mortality risk condition prevalence rates? METHODS: This study used the 296 Milwaukee County, Wisconsin census tracts' COVID-19 death rates per 100,000 lives to perform a linear regression with individual COVID-19 mortality risk condition prevalence rates, obtained from the CDC's 500 Cities Project, and a multiple regression with 7 condition prevalence rates. The Milwaukee County Medical Examiner provided census tract identified deaths from COVID-19 from March 2020 through May 2020. Crude death rates for these 3 months per 100,000 population were analyzed in a multiple linear regression versus prevalence rates for these conditions in each census tract. RESULTS: There were 295 assessable COVID-19-related deaths in Milwaukee County in early 2020. The model of crude death rates showed statistical significance with the condition prevalence rates in Milwaukee County. A regression analysis of each condition's prevalence rate showed no association with crude death rates. CONCLUSIONS: This study supports a correlation between high COVID-19 mortality rate census tracts and prevalence rate estimates of conditions associated with high individual COVID-19 mortality rates. The study is limited by the small COVID-19 death sample and the use of a single location. The ability to focus COVID-19 health promotion may save future lives if mitigation strategies are applied extensively in these neighborhoods.

Lessons (Not) Learned: Chicago Death Inequities during the 1918 Influenza and COVID-19 Pandemics.

During historical and contemporary crises in the U.S., Blacks and other marginalized groups experience an increased risk for adverse health, social, and economic outcomes. These outcomes are driven by structural factors, such as poverty, racial residential segregation, and racial discrimination. These factors affect communities' exposure to risk and ability to recover from disasters, such as pandemics. This study examines whether areas where descendants of enslaved Africans and other Blacks lived in Chicago were vulnerable to excess death during the 1918 influenza pandemic and whether these disparities persisted in the same areas during the COVID-19 pandemic. To examine disparities, demographic data and influenza and pneumonia deaths were digitized from historic weekly paper maps from the week ending on 5 October 1918 to the week ending on 16 November 1918. Census tracts were labeled predominantly Black or white if the population threshold for the group in a census tract was 40% or higher for only one group. Historic neighborhood boundaries were used to aggregate census tract data. The 1918 spatial distribution of influenza and pneumonia mortality rates and cases in Chicago was then compared to the spatial distribution of COVID-19 mortality rates and cases using publicly available datasets. The results show that during the 1918 pandemic, mortality rates in white, immigrant and Black neighborhoods near industrial areas were highest. Pneumonia mortality rates in both Black and immigrant white neighborhoods near industrial areas were approximately double the rates of neighborhoods with predominantly US-born whites. Pneumonia mortality in Black and immigrant white neighborhoods, far away from industrial areas, was also higher (40% more) than in US-born white neighborhoods. Around 100 years later, COVID-19 mortality was high in areas with high concentrations of Blacks based on zip code analysis, even though the proportion of the Black population with COVID was similar or lower than other racial and immigrant groups. These findings highlight the continued cost of racial disparities in American society in the form of avoidable high rates of Black death during pandemics.

Higher walkability associated with increased physical activity and reduced obesity among United States adults.

OBJECTIVE: This study examined associations among perceived neighborhood walkability, physical activity (PA), and obesity among United States adults. METHODS: Data from the 2020 National Health Interview Survey were analyzed. Walkability was assessed using a summative scale and was categorized as low, medium, or high. PA was categorized as insufficient (0-149 min/wk) or sufficient (150+ min/wk). Multivariable regressions estimated an association between obesity and BMI and PA/walkability. Mediation analysis was used to partition contribution of PA as a mediator. Effect modification by race and ethnicity in the association between walkability and BMI was explored. RESULTS: The sample included N = 31,568 adults. Compared with those in low-walkability neighborhoods, participants in high-walkability neighborhoods had increased odds of sufficient PA (odds ratio [OR] = 1.48; 95% CI: 1.30-1.69) and decreased obesity odds (OR = 0.76; 95% CI: 0.66-0.87). PA partially mediated the association between walkability and BMI (23.4%; 95% CI: 14.6%-62.7%). The association between walkability and BMI was modified by race and ethnicity (F[5,567]  = 2.75; p = 0.018). Among White, Black, Hispanic, and Asian adults, BMI decreased with increasing walkability; among American Indian/Alaska Native and multiracial/other adults, BMI increased with increasing walkability. CONCLUSIONS: The findings highlight the importance of investing in the built environment to improve perceptions of walkability and promote PA and healthy weight, as well as developing interventions to target racial and ethnic disparities in these outcomes.

Covid-19 restrictions: An opportunity to highlight the effect of neighbourhood deprivation on individuals' health-related behaviours.

RATIONALE: Neighbourhood socio-economic deprivation is strongly related to health-risk behaviours, which are predictors of overall health and mortality. During the Covid-19 pandemic, individuals have been forced to spend more time within their residential areas, which might have had an effect on health-risk behaviours. OBJECTIVE: We assess the consequences of living in a more or less deprived neighbourhood during the pandemic on individual behavioural changes in four health-related outcomes: smoking, drinking, physical activity and healthy eating. We hypothesise that the pandemic and related lock-downs had negative effects on health-related behaviours, but that this negative effect had been stronger for people living in more deprived areas. We additionally explore sex and ethnicity as sources of heterogeneity in these effects. METHODS: We use data from four nationally representative cohort studies in England. We perform longitudinal individual and neighbourhood fixed effects estimations focusing on comparing the pre-pandemic period with the first lockdown (May 2020) period and up to one year after the outbreak of the pandemic (March 2021). RESULTS: During the first lockdown, as compared to pre-pandemic levels, on average, people smoked more, drunk more and did more physical activity. However, compared to people in less deprived neighbourhoods, people living in more deprived areas showed a smaller increase in their levels of physical activity, consumed less fruit and vegetables and increased the number of cigarettes smoked. We additionally find that the combined effect of Covid-19 and area deprivation varies significantly by both sex and ethnicity. CONCLUSION: Results add to evidence on the impact of the Covid-19 pandemic and associated lockdowns on health-risk behaviours, highlighting the relative contribution of the neighbourhood environment and individual characteristics. We argue that reducing levels of neighbourhood deprivation may contribute to positively influence behaviours, especially for some sub-groups of the population, leading to a reduction of social inequalities in health.

Bridging the Built and Social Environments: A Systematic Review of Studies Investigating Influences on Physical Activity.

BACKGROUND: The purpose of this review was to examine articles assessing aspects of the built and social environment simultaneously, and how these environments influence physical activity (PA). A thorough review of studies is needed to identify patterns across studies and gaps for future research and practice. METHODS: To be included, articles needed to contain: (1) self-report or objective measure of PA; (2) a measure of the built environment; (3) a measure of the social environment; and (4) an analysis between built environment, social environment, and PA. A systematic literature search of 4358 articles resulted in 87 articles. RESULTS: Several populations were present within the sample including various age groups and different countries. As previously established, the built environment and social environment were consistently associated with PA; however, mediating factors between these 2 layers were less clear. Further, there was a lack of longitudinal and experimental study designs. CONCLUSIONS: Results suggest a need for longitudinal and experimental designs with validated and granular measures. As communities recover from the COVID-19 pandemic, a thorough understanding of how built environment factors enhance or detract from social connectedness and how this reciprocal relationship impacts PA behavior is needed for future policy, environment, and systematic change.

The Perceptions and Use of Urban Neighborhood Parks Since the Outbreak of COVID-19: A Case Study in South Korea.

As the COVID-19 pandemic continues, the stress of city dwellers is increasing, and some adapt to the pandemic by pursuing physical and psychological well-being in neighborhood parks. To improve the resilience of the social-ecological system against COVID-19, it is important to understand the mechanism of adaptation by examining the perception and use of neighborhood parks. The purpose of this study is to investigate users' perceptions and use of urban neighborhood parks since the outbreak of COVID-19 in South Korea using systems thinking. To verify the hypotheses about the relationship between variables involved in COVID-19 adaptive feedback, two research objectives were set. First, this study determined the causal structure leading to park visits using systems thinking. Second, the relationship between stress, motivation, and the frequency of visits to neighborhood parks was empirically verified. To conduct the research, the system of use and perceptions of parks were analyzed through a causal loop diagram to determine the feedback between psychological variables. Then, a survey was conducted to verify the relationship between stress, motivation for visits, and visit frequency, which are the major variables derived from the causal structure. A total of three feedback loops were derived in the first step, including a loop in which COVID-19 stress was relieved by visits to parks and a loop in which COVID-19 stress worsened due to crowding in parks. Finally, the relationship of stress leading to park visits was confirmed, and the empirical analysis showed that anger about contagion and social disconnection were linked as motives for park visits, and that park visits were mainly motivated by the desire to go out. The neighborhood park functions as an adaptive space for the stress of COVID-19 and will maintain its role as social distancing becomes more important to various socio-ecological changes. The strategies driven by the pandemic can be adapted in park planning to recover from stress and improve resilience.

Neighborhood-Built Environment and Ageism in Later Life.

Ageism is a global challenge and a public health concern that the recent COVID-19 pandemic has further exacerbated. Existing research has mainly focused on individual factors, overlooking the association between the neighborhood-built environment and ageism. This study examined this association and whether its effect varied among areas possessing different socioeconomic characteristics. We conducted a cross-sectional survey of 1278 older people in Hong Kong and merged this with the built environment factors derived from geographical information system data. We used multivariable linear regression to examine the association. Findings revealed that more parks were significantly associated with a lower level of ageism, an impact that remained significant in low-income or low-education areas. Conversely, more libraries in high-income areas were associated with a lower level of ageism. Our findings provide urban planners and policymakers insight into planning for the built environment that reduces ageism enabling older people to achieve a better life.

Association of Area Deprivation Index With Severity of COVID-19 in Pediatric Patients: A Multisite Study of Racially and Ethnically Diverse Children.

Area deprivation index (ADI) is associated with the risk of severe COVID-19 in adults. However, this association has not been established in children. Information on ADI, demographics, clinical features, disease severity, and outcomes was analyzed for 3434 children with COVID-19. A multivariate logistic regression revealed that non-Hispanic Asians, extremes of weight, and higher ADI were associated with severe disease.

Взаимодействие с конфессиональными партнерами при чрезвычайных ситуациях в области здравоохранения: временный инструмент внедрения

В настоящем инструменте внедрения представлены практические рекомендации по взаимодействию с конфессиональными партнерами в целях обеспечения готовности к чрезвычайным ситуациям и реагированию на них, предназначенные для органов здравоохранения и других профильных органов управления на национальном и местном уровнях, учреждений ООН, включая ВОЗ на страновом уровне, конфессиональных партнеров и других организаций, заинтересованных в таком взаимодействии.

Spatial and deep learning analyses of urban recovery from the impacts of COVID-19.

This study investigates urban recovery from the COVID-19 pandemic by focusing on three main types of working, commercial, and night-life activities and associating them with land use and inherent socio-economic patterns as well as points of interests (POIs). Massive multi-source and multi-scale data include mobile phone signaling data (500 m × 500 m), aerial images (0.49 m × 0.49 m), night light satellite data (500 m × 500 m), land use data (street-block), and POIs data. Methods of convolutional neural network, guided gradient-weighted class activation mapping, bivariate local indicator of spatial association, Elbow and K-means are jointly applied. It is found that the recovery in central areas was slower than in suburbs, especially in terms of working and night-life activities, showing a donut-shaped spatial pattern. Residential areas with mixed land uses seem more resilient to the pandemic shock. More than 60% of open spaces are highly associated with recovery in areas with high-level pre-pandemic social-economic activities. POIs of sports and recreation are crucial to the recovery in all areas, while POIs of transportation and science/culture are also important to the recovery in many areas. Policy implications are discussed from perspectives of open spaces, public facilities, neighborhood units, spatial structures, and anchoring roles of POIs.

An Iterative, Participatory Approach to Developing a Neighborhood-Level Indicator System of Health and Wellbeing.

Despite increased awareness of the essential role of neighborhood characteristics for residents' health and wellbeing, the development of neighborhood-level indicator systems has received relatively little attention to date. To address this gap, we describe the participatory development process of a small-area indicator system that includes information on local health needs in a pilot neighborhood in the German city of Mannheim. To identify relevant indicators, we partnered with representatives of the city's public health department and used an iterative approach that included multiple Plan-Do-Check-Act cycles with ongoing feedback from local key stakeholders. The described process resulted in a web-based indicator system with a total of 86 indicators. Additionally, 123 indicators were perceived as relevant by stakeholders but could not be included due to data unavailability. Overall, stakeholders evaluated the participatory approach as useful. Even though the onset of the COVID-19 pandemic and the lack of some data elements hindered instrument development, close collaboration with public health partners facilitated the process. To identify and target sub-national health inequalities, we encourage local public health stakeholders to develop meaningful and useful neighborhood-level indicator systems, building on our experiences from the applied development process and considering identified barriers and facilitators.

Modelling the spatiotemporal spread of COVID-19 outbreaks and prioritization of the risk areas in Toronto, Canada.

Modelling the spatiotemporal spread of a highly transmissible disease is challenging. We developed a novel spatiotemporal spread model, and the neighbourhood-level data of COVID-19 in Toronto was fitted into the model to visualize the spread of the disease in the study area within two weeks of the onset of first outbreaks from index neighbourhood to its first-order neighbourhoods (called dispersed neighbourhoods). We also model the data to classify hotspots based on the overall incidence rate and persistence of the cases during the study period. The spatiotemporal spread model shows that the disease spread to 1-4 neighbourhoods bordering the index neighbourhood within two weeks. Some dispersed neighbourhoods became index neighbourhoods and further spread the disease to their nearby neighbourhoods. Most of the sources of infection in the dispersed neighbourhood were households and communities (49%), and after excluding the healthcare institutions (40%), it becomes 82%, suggesting the expansion of transmission was from close contacts. The classification of hotspots informs high-priority areas concentrated in the northwestern and northeastern parts of Toronto. The spatiotemporal spread model along with the hotspot classification approach, could be useful for a deeper understanding of spatiotemporal dynamics of infectious diseases and planning for an effective mitigation strategy where local-level spatially enabled data are available.

Food Allergies in Inner-City Schools: Addressing Disparities and Improving Management.

OBJECTIVE: Food allergy (FA) affects approximately 8% of children in the United States. Management comprises both preventing and treating allergic reactions, which poses unique challenges in the inner-city school setting. In this article, we review the epidemiology of FA in school-aged children and management challenges and opportunities specific to the inner-city population. DATA SOURCES: A literature search of the PubMed database was performed to identify published literature on FA epidemiology, FA management, school policies, disparities, inner-city, race, ethnicity, and socioeconomic status. STUDY SELECTIONS: Relevant articles on FA management best practices and challenges in schools, with a particular emphasis on inner-city schools and populations and socioeconomic, racial, and ethnic disparities, were reviewed in detail. RESULTS: Disparities in FA prevalence, management, and treatment exist. Additional research is needed to better characterize these disparities and elucidate the mechanisms leading to them. There is a lack of evidence-based interventions for the prevention and treatment of food allergic reactions in schools and specifically in inner-city schools, in which a greater proportion of students may rely on school food. CONCLUSION: There are opportunities for partnership among health care providers, schools, and communities to address unmet needs in FA management and disparities in the inner-city school setting.

Associations between area deprivation and changes in the digital food environment during the COVID-19 pandemic: Longitudinal analysis of three online food delivery platforms.

Online food delivery services facilitate access to unhealthy foods and have proliferated during the COVID-19 pandemic. This study explores associations between neighbourhood deprivation and exposure to online food delivery services and changes in exposure by deprivation during the first year of the pandemic. Data on food outlets delivering to 661 postcode districts in London and the North of England in 2020 and 2021 were collected from three online delivery platforms. The association between area deprivation and overall exposure to online food delivery services was moderated by region, with evidence of a positive relationship between count of outlets and deprivation in the North of England, and a negative relationship in London. There was no association between area deprivation and growth of online food delivery services. Associations between neighbourhood deprivation and exposure to the digital food environment vary geographically. Consequently, policies aimed at the digital food environment need to be tailored to the local context.

Area-level deprivation, neighbourhood factors and associations with mental health.

The COVID-19 pandemic saw residential neighbourhoods become more of a focal point in people's lives, where people were greater confined to living, working, and undertaking leisure in their locality. This study investigates whether area-level deprivation and neighbourhood conditions influence mental health, accounting for demographic, socio-economic and health circumstances of individuals. Using nationally representative data from Ireland, regression modelling revealed that area-level deprivation did not in itself have a discernible impact on mental health status (as measured using the Mental Health Inventory-5 instrument and the Energy and Vitality Index), or likelihood of having suffered depression in the previous 12 months. However, positive perceptions of area safety, service provision, and area cleanliness were associated with better mental health, as was involvement in social groups. Broad ranging policies investing in neighbourhoods, could have benefits for mental health, which may be especially important for deprived communities.

Impacts of Individual Patient Language and Neighborhood Ethnic Enclave on COVID-19 Test Positivity Among Hispanic/Latinx Patients in San Francisco.

BACKGROUND: Given the known disparities in COVID-19 within the Hispanic/Latinx community, we sought to examine the interaction between individual-level and neighborhood-level social determinants of health using linked electronic health record data. METHODS: We examined electronic health record data linked to neighborhood data among Hispanic/Latinx patients tested for COVID-19 between March 1, 2020, and February 28, 2021, from 2 large health care systems in San Francisco. Hispanic/Latinx ethnic enclave is measured using an index of census-tract level indicators of ethnicity, nativity, and language. Multilevel logistic regression models examined associations between ethnic enclave and COVID-19 positivity (COVID-19+), adjusting for patient-level sociodemographic and clinical characteristics and health system. Cross-level interactions were used to test whether associations between ethnic enclave and COVID-19+ differed by patient language preference. RESULTS: Among 26,871 patients, mean age was 37 years, 56% had Spanish-language preference, and 21% were COVID-19+. In unadjusted models, patients living in the highest versus lowest Hispanic/Latinx enclave had 3.2 higher odds of COVID-19+ (95% CI, 2.45-4.24). Adjusted, the relationship between ethnic enclave and COVID-19+ was attenuated, but not eliminated (odds ratio: 1.4; 95% CI, 1.13-1.17). Our results demonstrated a significant cross-level interaction, such that the influence of ethnic enclave was modified by patient language preference. For individuals with Spanish-language preference, risk of COVID-19+ was high regardless of neighborhood context, whereas for those with English preference, neighborhood ethnic enclave more than doubled the odds of infection. CONCLUSIONS: Findings suggest that a multilevel and intersectional approach to the study of COVID-19 inequities may illuminate dimensions of health inequity that affect marginalized communities and offer insights for targeted clinical and community-based interventions.

COVID-19 Cases Among Congregate Care Facility Staff by Neighborhood of Residence and Social and Structural Determinants: Observational Study.

BACKGROUND: Disproportionate risks of COVID-19 in congregate care facilities including long-term care homes, retirement homes, and shelters both affect and are affected by SARS-CoV-2 infections among facility staff. In cities across Canada, there has been a consistent trend of geographic clustering of COVID-19 cases. However, there is limited information on how COVID-19 among facility staff reflects urban neighborhood disparities, particularly when stratified by the social and structural determinants of community-level transmission. OBJECTIVE: This study aimed to compare the concentration of cumulative cases by geography and social and structural determinants across 3 mutually exclusive subgroups in the Greater Toronto Area (population: 7.1 million): community, facility staff, and health care workers (HCWs) in other settings. METHODS: We conducted a retrospective, observational study using surveillance data on laboratory-confirmed COVID-19 cases (January 23 to December 13, 2020; prior to vaccination rollout). We derived neighborhood-level social and structural determinants from census data and generated Lorenz curves, Gini coefficients, and the Hoover index to visualize and quantify inequalities in cases. RESULTS: The hardest-hit neighborhoods (comprising 20% of the population) accounted for 53.87% (44,937/83,419) of community cases, 48.59% (2356/4849) of facility staff cases, and 42.34% (1669/3942) of other HCW cases. Compared with other HCWs, cases among facility staff reflected the distribution of community cases more closely. Cases among facility staff reflected greater social and structural inequalities (larger Gini coefficients) than those of other HCWs across all determinants. Facility staff cases were also more likely than community cases to be concentrated in lower-income neighborhoods (Gini 0.24, 95% CI 0.15-0.38 vs 0.14, 95% CI 0.08-0.21) with a higher household density (Gini 0.23, 95% CI 0.17-0.29 vs 0.17, 95% CI 0.12-0.22) and with a greater proportion working in other essential services (Gini 0.29, 95% CI 0.21-0.40 vs 0.22, 95% CI 0.17-0.28). CONCLUSIONS: COVID-19 cases among facility staff largely reflect neighborhood-level heterogeneity and disparities, even more so than cases among other HCWs. The findings signal the importance of interventions prioritized and tailored to the home geographies of facility staff in addition to workplace measures, including prioritization and reach of vaccination at home (neighborhood level) and at work.

COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities.

COVID-19 has exacerbated endemic health inequalities resulting in a syndemic pandemic of higher mortality and morbidity rates among the most socially disadvantaged. We did a scoping review to identify and synthesise published evidence on geographical inequalities in COVID-19 mortality rates globally. We included peer-reviewed studies, from any country, written in English that showed any area-level (eg, neighbourhood, town, city, municipality, or region) inequalities in mortality by socioeconomic deprivation (ie, measured via indices of multiple deprivation: the percentage of people living in poverty or proxy factors including the Gini coefficient, employment rates, or housing tenure). 95 papers from five WHO global regions were included in the final synthesis. A large majority of the studies (n=86) found that COVID-19 mortality rates were higher in areas of socioeconomic disadvantage than in affluent areas. The subsequent discussion reflects on how the unequal nature of the pandemic has resulted from a syndemic of COVID-19 and endemic inequalities in chronic disease burden.

Reflections From Rhode Island's Safe Consumption Sites Regulations Committee: A Lesson in Racial Equity.

In July 2021, a statewide measure to create Harm Reduction Centers (also known as safe consumption sites [SCS]) was signed into law in Rhode Island. Convincing evidence shows that SCS can reduce premature death in the surrounding neighborhood. Although SCS have had success around the globe for approaching 40 years, implementing a harm reduction center of this kind in the United States requires consideration of this country's unique racial and geographic politics. In this manuscript, we describe a series of discussions at the Regulations Committee meetings in Rhode Island around the question of whether or not to mandate the presence of inhalation rooms. Through this vignette, we aim to convey how, at the highest level of government, citizens of Rhode Island were able to promote and prioritize racial equity.