scholarly journals Pandemic Injustice: Spatial and Social Distributions of COVID-19 in the US Epicenter

2021 ◽  
pp. 2150007
Author(s):  
Timon McPhearson ◽  
Zbigniew Grabowski ◽  
Pablo Herreros-Cantis ◽  
Ahmed Mustafa ◽  
Luis Ortiz ◽  
...  
Keyword(s):  
New York ◽  
Low Income ◽  
Social Vulnerability ◽  
Urban Areas ◽  
Social Dynamics ◽  
Negative Relationship ◽  
Policy Debate ◽  
The Social ◽  
Vulnerability Indicators ◽  
The U.S

We examine the uneven social and spatial distributions of COVID-19 and their relationships with indicators of social vulnerability in the U.S. epicenter, New York City (NYC). As of July 17th, 2020, NYC, despite having only 2.5% of the U.S. population, has [Formula: see text]6% of all confirmed cases, and [Formula: see text]16% of all deaths, making it a key learning ground for the social dynamics of the disease. Our analysis focuses on the multiple potential social, economic, and demographic drivers of disproportionate impacts in COVID-19 cases and deaths, as well as population rates of testing. Findings show that immediate impacts of COVID-19 largely fall along lines of race and class. Indicators of poverty, race, disability, language isolation, rent burden, unemployment, lack of health insurance, and housing crowding all significantly drive spatial patterns in prevalence of COVID-19 testing, confirmed cases, death rates, and severity. Income in particular has a consistent negative relationship with rates of death and disease severity. The largest differences in social vulnerability indicators are also driven by populations of people of color, poverty, housing crowding, and rates of disability. Results highlight the need for targeted responses to address injustice of COVID-19 cases and deaths, importance of recovery strategies that account for differential vulnerability, and provide an analytical approach for advancing research to examine potential similar injustice of COVID-19 in other U.S. cities. Significance Statement Communities around the world have variable success in mitigating the social impacts of COVID-19, with many urban areas being hit particularly hard. Analysis of social vulnerability to COVID-19 in the NYC, the U.S. national epicenter, shows strongly disproportionate impacts of the pandemic on low income populations and communities of color. Results highlight the class and racial inequities of the coronavirus pandemic in NYC, and the need to unpack the drivers of social vulnerability. To that aim, we provide a replicable framework for examining patterns of uneven social vulnerability to COVID-19- using publicly available data which can be readily applied in other study regions, especially within the U.S.A. This study is important to inform public and policy debate over strategies for short- and long-term responses that address the injustice of disproportionate impacts of COVID-19. Although similar studies examining social vulnerability and equity dimensions of the COVID-19 outbreak in cities across the U.S. have been conducted (Cordes and Castro 2020, Kim and Bostwick 2002, Gaynor and Wilson 2020; Wang et al. 2020; Choi and Unwin 2020), this study provides a more comprehensive analysis in NYC that extends previous contributions to use the highest resolution spatial units for data aggregation (ZCTAs). We also include mortality and severity rates as key indicators and provide a replicable framework that draws from the Centers for Disease Control and Prevention’s Social Vulnerability indicators for communities in NYC.

scholarly journals Pandemic Injustice: Spatial and Social Distributions of the first wave of COVID-19 in the US Epicenter

2020 ◽  
Author(s):  
Timon McPhearson ◽  
Zbigniew J. Grabowski ◽  
Pablo Herreros-Cantis ◽  
Ahmed Mustafa ◽  
Luis Ortiz ◽  
...  
Keyword(s):  
New York ◽  
Social Vulnerability ◽  
Social Dynamics ◽  
Negative Relationship ◽  
People Of Color ◽  
Race And Class ◽  
Differential Vulnerability ◽  
The Social ◽  
Vulnerability Indicators ◽  
The Us

<p>We examine the uneven social and spatial distributions of COVID-19 and their relationships with indicators of social vulnerability in the U.S. epicenter, New York City (NYC). As of July 17th, 2020, NYC, despite having only 2.5% of the US population, has ~6% of all confirmed cases, and ~16% of all deaths, making it a key learning ground for the social dynamics of the disease. Our analysis focuses on the multiple potential social, economic, and demographic drivers of disproportionate impacts in COVID-19 cases and deaths, as well as population rates of testing. Findings show that immediate impacts of COVID-19 largely fall along lines of race and class. Indicators of poverty, race, disability, language isolation, rent burden, unemployment, lack of health insurance, and housing crowding all significantly drive spatial patterns in prevalence of COVID-19 testing, confirmed cases, death rates, and severity. Income in particular has a consistent negative relationship with rates of death and disease severity. The largest differences in social vulnerability indicators are also driven by populations of people of color, poverty, housing crowding, and rates of disability. Results highlight the need for targeted responses to address injustice of COVID-19 cases and deaths, importance of recovery strategies that account for differential vulnerability, and provide an analytical approach for advancing research to examine potential similar injustice of COVID-19 in other U.S. cities.</p>

scholarly journals Pandemic Injustice: Spatial and Social Distributions of the first wave of COVID-19 in the US Epicenter

2020 ◽  
Author(s):  
Timon McPhearson ◽  
Zbigniew R. Grabowski ◽  
Pablo Herreros-Cantis ◽  
Ahmed Mustafa ◽  
Luis Ortiz ◽  
...  
Keyword(s):  
New York ◽  
Social Vulnerability ◽  
Social Dynamics ◽  
Negative Relationship ◽  
People Of Color ◽  
Race And Class ◽  
Differential Vulnerability ◽  
The Social ◽  
Vulnerability Indicators ◽  
The Us

<p>We examine the uneven social and spatial distributions of COVID-19 and their relationships with indicators of social vulnerability in the U.S. epicenter, New York City (NYC). As of July 17th, 2020, NYC, despite having only 2.5% of the US population, has ~6% of all confirmed cases, and ~16% of all deaths, making it a key learning ground for the social dynamics of the disease. Our analysis focuses on the multiple potential social, economic, and demographic drivers of disproportionate impacts in COVID-19 cases and deaths, as well as population rates of testing. Findings show that immediate impacts of COVID-19 largely fall along lines of race and class. Indicators of poverty, race, disability, language isolation, rent burden, unemployment, lack of health insurance, and housing crowding all significantly drive spatial patterns in prevalence of COVID-19 testing, confirmed cases, death rates, and severity. Income in particular has a consistent negative relationship with rates of death and disease severity. The largest differences in social vulnerability indicators are also driven by populations of people of color, poverty, housing crowding, and rates of disability. Results highlight the need for targeted responses to address injustice of COVID-19 cases and deaths, importance of recovery strategies that account for differential vulnerability, and provide an analytical approach for advancing research to examine potential similar injustice of COVID-19 in other U.S. cities.</p>

scholarly journals Pandemic Injustice: Spatial and Social Distributions of the first wave of COVID-19 in the US Epicenter

2020 ◽  
Author(s):  
Timon McPhearson ◽  
Zbigniew J. Grabowski ◽  
Pablo Herreros-Cantis ◽  
Ahmed Mustafa ◽  
Luis Ortiz ◽  
...  
Keyword(s):  
New York ◽  
Social Vulnerability ◽  
Social Dynamics ◽  
Negative Relationship ◽  
People Of Color ◽  
Race And Class ◽  
Differential Vulnerability ◽  
The Social ◽  
Vulnerability Indicators ◽  
The Us

<p>We examine the uneven social and spatial distributions of COVID-19 and their relationships with indicators of social vulnerability in the U.S. epicenter, New York City (NYC). As of July 17th, 2020, NYC, despite having only 2.5% of the US population, has ~6% of all confirmed cases, and ~16% of all deaths, making it a key learning ground for the social dynamics of the disease. Our analysis focuses on the multiple potential social, economic, and demographic drivers of disproportionate impacts in COVID-19 cases and deaths, as well as population rates of testing. Findings show that immediate impacts of COVID-19 largely fall along lines of race and class. Indicators of poverty, race, disability, language isolation, rent burden, unemployment, lack of health insurance, and housing crowding all significantly drive spatial patterns in prevalence of COVID-19 testing, confirmed cases, death rates, and severity. Income in particular has a consistent negative relationship with rates of death and disease severity. The largest differences in social vulnerability indicators are also driven by populations of people of color, poverty, housing crowding, and rates of disability. Results highlight the need for targeted responses to address injustice of COVID-19 cases and deaths, importance of recovery strategies that account for differential vulnerability, and provide an analytical approach for advancing research to examine potential similar injustice of COVID-19 in other U.S. cities.</p>

scholarly journals Diagnóstico de Vulnerabilidade Socioambiental em Áreas Urbanas Utilizando Inteligência Geográfica

2020 ◽  
Vol 13 (2) ◽  
pp. 767
Author(s):  
Gabriela De Azevedo Reis ◽  
Antonio Júnior Alves Ribeiro ◽  
Carlos Augusto Uchoa Da Silva
Keyword(s):  
Natural Disasters ◽  
Low Income ◽  
Land Use Planning ◽  
Social Vulnerability ◽  
Urban Areas ◽  
Social Vulnerability Index ◽  
Map Algebra ◽  
Environmental Vulnerability ◽  
The Social ◽  
Vulnerability Map

Os impactos causados por desastres naturais podem ser minimizados ao identificar populações em situação de vulnerabilidade. Para contribuir com o planejamento territorial e reduzir tais impactos, este trabalho analisa metodologias para identificação espacial da vulnerabilidade socioambiental. Foi estudada a bacia do rio Mané Dendê, em Salvador, caracterizada pelo alto adensamento populacional e concentração da população de baixa renda, com ocorrências de ocupações irregulares. Para a geração dos produtos foram utilizadas técnicas de geoprocessamento, identificando espacialmente as áreas de risco e as populações em situação de vulnerabilidade e representá-las graficamente, obtendo mapas temáticos como resultado. O mapa de vulnerabilidade ambiental foi gerado ao identificar áreas de risco de deslizamento de terra e inundação. Foi determinado um Índice de Vulnerabilidade Social baseado no censo demográfico do IBGE, gerando o mapa de vulnerabilidade social. O mapa de vulnerabilidade socioambiental foi gerado por álgebra de mapas. A metodologia de obtenção da vulnerabilidade social foi considerada satisfatória e segue os padrões adotados em trabalhos aplicados no Brasil e internacionalmente. É recomendado que seja feita uma análise dos critérios de vulnerabilidade ambiental, para que o resultado possa representar uma ferramenta mais segura para a tomada de decisão. Social-Environmental Vulnerability Diagnosis in Urban Areas Using Geomatics A B S T R A C TThe impacts caused by natural disasters can be minimized by identifying populations in situations of social vulnerability. Aiming to contribute with land-use planning and to reduce such impacts caused by these natural disasters in urban centers, this project proposes a methodology to for spatial identification of social and environmental vulnerability. The method was applied in Mané Dendê River’s basin, at Salvador, Bahia. This study area is characterized by its high population density and great concentration of low income population, with high occurrence of irregular settlements. It was used geoprocessing techniques to identify the areas and the population that are vulnerable and graphically represent them through the generation of thematic maps. The environmental vulnerability map was generated through identifying the areas with risk of landslide and floods. It was determined a Social Vulnerability Index based on the 2010 census database published by the Brazilian Institute of Geography and Statistics. Then, it was generated the social vulnerability map. The social and environmental vulnerability map was made by applying the map algebra technique. The social vulnerability method was considered satisfactory once it follows the pattern adopted by similar works, applied in Brazil and around the world. However, it is recommended for future works a deeper analysis of the criteria used to obtain the environmental vulnerabilitymap so that the final result will be able to represent a reliable tool for the decision making in the scope of territorial management planning.Keywords: geoprocessing, zoning, social vulnerability, environmental vulnerability.

PAR Method

2010 ◽  
Vol 3 (3) ◽  
pp. 355-375 ◽  
Author(s):  
Michelle Billies
Keyword(s):  
New York ◽  
Low Income ◽  
Critical Consciousness ◽  
Design Method ◽  
Participatory Action ◽  
Community Members ◽  
Context Analysis ◽  
Gender Nonconforming ◽  
The Social ◽  
And Gender

The work of the Welfare Warriors Research Collaborative (WWRC), a participatory action research (PAR) project that looks at how low income lesbian, gay, bisexual, transgender, and gender nonconforming (LG-BTGNC) people survive and resist violence and discrimination in New York City, raises the question of what it means to make conscientization, or critical consciousness, a core feature of PAR. Guishard's (2009) reconceptualization of conscientization as “moments of consciousness” provides a new way of looking at what seemed to be missing from WWRC's process and analysis. According to Guishard, rather than a singular awakening, critical consciousness emerges continually through interactions with others and the social context. Analysis of the WWRC's process demonstrates that PAR researchers doing “PAR deep” (Fine, 2008)—research in which community members share in all aspects of design, method, analysis and product development—should have an agenda for developing critical consciousness, just as they would have agendas for participation, for action, and for research.

Aging Alone, Gossiping Together: Older Adults’ Talk as Social Glue

2018 ◽  
Vol 74 (8) ◽  
pp. 1474-1482 ◽  
Author(s):  
Stacy Torres
Keyword(s):  
Older Adults ◽  
New York ◽  
Older People ◽  
Urban Areas ◽  
Living Alone ◽  
Emotional Intimacy ◽  
Public Places ◽  
The Social ◽  
Formal Organizations ◽  
Negative Reputation

AbstractObjectivesWhile older adults living alone face challenges to maintaining social ties, elders in urban areas also have unique opportunities for daily socializing that can buffer against loneliness.MethodDrawing on 5 years of ethnographic fieldwork among elders in New York City, this study presents empirical insights into the development of supplementary neighborhood-based networks of support for older people living alone and vulnerable to isolation.ResultsThis study finds that elders who lived alone, without close kin, engaged in daily gossip about other older people they encountered as regulars in local eateries. Despite its negative reputation, gossip helped them connect and access less conventional social support close to home. The majority resisted formal organizations, such as churches or senior centers, and thus their interactions in public venues served as an important source of social involvement. In line with Gluckman’s argument (1963), gossip betrayed emotional intimacy and caretaking that connected people who could have fallen off the social radar.DiscussionHigher rates of divorce and lifelong singlehood, coupled with increased longevity, will compel greater numbers of older adults to construct alternative support networks. My findings suggest that more will draw these connections from unconventional venues such as neighborhood public places.

scholarly journals ASSESSMENT OF SOCIAL VULNERABILITY TO THE IMPACT OF FLOOD HAZARD: A CASE STUDY OF KOPILI RIVER BASIN, ASSAM, INDIA

2018 ◽  
Vol XLII-5 ◽  
pp. 455-460
Author(s):  
S. V. Shiva Prasad Sharma ◽  
P. S. Roy ◽  
V. Chakravarthi
Keyword(s):  
Social Vulnerability ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
The Social ◽  
Vulnerability Indicators ◽  
Multi Temporal ◽  
The Impact ◽  
Vulnerable Zones

<p><strong>Abstract.</strong> In the present study, an attempt is made to understand the impact on Social Vulnerability of the Kopili basin due to various severities of flood hazard. The flood hazard is generated using multi-temporal historical satellite based analysis and integration of annual flood inundation layers. The census of India data of 2001 and 2011 is spatially joined with village database to study the impact at village level. Using 5 Census variables from both Census 2001 &amp;amp; 2011 as vulnerability indicators, the Social Vulnerability Index (SVI) is derived and classified into various vulnerable zones namely Low, Moderate and High Vulnerable zones. The findings of the study show that the number of villages falling in Low and High Vulnerable zones had decreased during Census 2011 when compared to 2001 and a rise of 6% in villages falling in moderate vulnerable zones during 2011 is observed. The spatial database generated is useful to understand the impact of floods on the Social Vulnerability status of the basin and can be a useful input to further study the Physical, Economic and Environmental Vulnerabilities of the basin.</p>

scholarly journals Covid-19 and inequality: developing an age-friendly strategy for recovery in low income communities

2020 ◽  
Vol 21 (4) ◽  
pp. 271-279
Author(s):  
Tine Buffel ◽  
Patty Doran ◽  
Mhorag Goff ◽  
Luciana Lang ◽  
Camilla Lewis ◽  
...  
Keyword(s):  
Low Income ◽  
Urban Areas ◽  
Social Impact ◽  
Later Life ◽  
Social Infrastructure ◽  
Community Based Interventions ◽  
Content Type ◽  
Urban Neighbourhoods ◽  
The Social ◽  
The Impact

Purpose This paper aims to explore the social impact of the COVID-19 pandemic, focusing on issues facing older people living in urban areas characterised by multiple deprivation. Design/methodology/approach The paper first reviews the role of place and neighbourhood in later life; second, it examines the relationship between neighbourhood deprivation and the impact of COVID-19; and, third, it outlines the basis for an “age-friendly” recovery strategy. Findings The paper argues that COVID-19 is having a disproportionate impact on low-income communities, which have already been affected by cuts to public services, the loss of social infrastructure and pressures on the voluntary sector. It highlights the need for community-based interventions to be developed as an essential part of future policies designed to tackle the effects of COVID-19. Originality/value The paper contributes to debates about developing COVID-19 recovery strategies in the context of growing inequalities affecting urban neighbourhoods.

scholarly journals A Study on the GIS Professional (GISP) Certification Program in the U.S.

2020 ◽  
Vol 9 (9) ◽  
pp. 523
Author(s):  
Dapeng Li ◽  
Yingru Li ◽  
Quynh C. Nguyen ◽  
Laura K. Siebeneck
Keyword(s):  
New York ◽  
Spatial Patterns ◽  
Urban Areas ◽  
The United States ◽  
Washington Dc ◽  
Certification Program ◽  
Managerial Role ◽  
Current State ◽  
Shed Light ◽  
The U.S

This study examines the characteristics of the members in the most popular Geographic Information Systems (GIS) Professional (GISP) certification program in the United States as well as the spatial patterns of the certified GISPs. The results show that the majority of GISPs (97.3%) are located in urban areas. About 75% of the GISPs are male. Among all the GISPs, 3971 GISPs (43.3%) play a managerial role, while 4983 individuals (54.5%) assume a non-administrative role. Among the GISPs with a non-administrative role, 348 GISPs (7%) fall within the GIS Developer group, 3392 GISPs (68%) belong to the GIS Analyst group, and 1243 GISPs (25%) play other roles. Additionally, in our analysis of spatial patterns, we identified two hotspots and two coldspots. The first hotspot is centered around Idaho and Wyoming, while the second hotspot includes Virginia, Washington DC, and Maryland. One coldspot is along Iowa, Missouri, Arkansas, and Louisiana in the central U.S., while the other coldspot includes states such as Connecticut, New Jersey, and New York on the east coast. The information presented in this study can help GIS educators and practitioners develop a better understanding of the current state of this certification program in the U.S and shed light on how to further improve the GISP certification program.

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