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 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 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 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 Diffusion in Congress: Measuring the Social Dynamics of Legislative Behavior

2016 ◽  
Vol 5 (3) ◽  
pp. 511-527 ◽  
Author(s):  
René Lindstädt ◽  
Ryan J. Vander Wielen ◽  
Matthew Green
Keyword(s):  
Dynamic Process ◽  
House Of Representatives ◽  
Social Dynamics ◽  
Political Representation ◽  
Peer Pressure ◽  
Legislative Behavior ◽  
Recent Innovation ◽  
The Social ◽  
The Us ◽  
Rational Evaluation

While there is a substantial literature highlighting the presence of social dynamics in legislatures, we know very little about the precise processes that generate these social dynamics. Yet, whether social dynamics are due to peer pressure, frequency of interaction, or genuine learning, for example, has important implications for questions of political representation and accountability. We demonstrate how a recent innovation can be used to study the diffusion of behavior within legislatures. In particular, we study diffusion within the US House of Representatives by looking at the dynamic process underlying discharge petitions. The discharge procedure shares many characteristics with other forms of legislative behavior, yet it has one important advantage when it comes to studying social dynamics: we can observe when members decide to sign petitions. Based on data from 1995 to 2014, we find that the social dynamics underlying the discharge procedure tend to involve the rational evaluation of information conveyed by the behavior of previous petition signatories.

scholarly journals Comprehensive seismic risk assessment map of South Korea developed using seismic, geotechnical, and social vulnerability indicators

2021 ◽  
Author(s):  
Seonyoung Lee ◽  
Seokhoon Oh
Keyword(s):  
Risk Assessment ◽  
South Korea ◽  
Social Vulnerability ◽  
Seismic Risk ◽  
Seismic Risk Assessment ◽  
Spatial Continuity ◽  
The Social ◽  
Vulnerability Indicators ◽  
Bedrock Depth ◽  
Vulnerability Indicator

Abstract At present, because it is not possible to predict earthquakes, disaster preparedness is vital for the reduction of damages. The awareness about earthquakes has substantially increased after the occurrence of two >M L 5 events in 2016 and 2017 in South Korea. This study presents the seismic risk assessment conducted for the entire country of South Korea. This assessment was performed using seismic, geotechnical, and social vulnerability indicators. The seismic vulnerability indicator was estimated using a probabilistic seismic hazard and fault-line density map that are directly related to the occurrence of earthquakes. The geotechnical vulnerability indicator was derived using bedrock depth data and extrapolation of digital elevation model data through geostatistical techniques. The seismic and geotechnical indicators were integrated based on the bedrock depth distribution. The social vulnerability indicator considered the distribution of relevant parameters such as vulnerable people, old houses, and road information. These statistical data without spatial continuity were incorporated into a map using principal component analysis. A five-grade classification of risks presented by the seismic and geotechnical vulnerability map and the social vulnerability index map was developed to facilitate simultaneous assessment. A risk matrix was applied to the two maps to produce a comprehensive seismic risk assessment map of South Korea, in which the southeastern and northwestern regions of South Korea present a high seismic risk. The results of this study will serve toward seismic risk management and minimize seismic disaster damages in South Korea.

Latinxs’ bilingualism at work in the US

2020 ◽  
Vol 2 (1) ◽  
pp. 37-65
Author(s):  
Lara Alonso ◽  
Laura Villa
Keyword(s):  
New York ◽  
Political Economy ◽  
Economic Value ◽  
Corporate World ◽  
Theoretical Approaches ◽  
The Social ◽  
The Us ◽  
Globalized Economy ◽  
Educational Spaces ◽  
Current Context

Abstract In the current context of a globalized economy, bilingualism is increasingly portrayed as a resource for corporations and for workers competing for jobs in today’s slim market. In this paper we analyze the economic value of languages other than English in the US, Spanish in particular. Working from a political economy perspective and drawing from current theoretical approaches to language and labor under neoliberalism, we examine the reproduction of the discursive trope of language profit in the corporate world and educational spaces, and then analyze the narratives and trajectories of young Latinx workers in New York. The marginalized position of Latinxs in the social structure and the racialization of their linguistic practices result in a linguistic exploitation that remains unchallenged in the US. We conclude that today’s celebrations of bilingualism, which follow a capitalist logic, perpetuate a hierarchy of languages and speakers that is detrimental to racialized minorities.

scholarly journals Reducing Public Health Risk During Disasters: Identifying Social Vulnerabilities

2015 ◽  
Vol 12 (4) ◽  
pp. 809-822 ◽  
Author(s):  
Amy Wolkin ◽  
Jennifer Rees Patterson ◽  
Shelly Harris ◽  
Elena Soler ◽  
Sherry Burrer ◽  
...  
Keyword(s):  
Public Health ◽  
At Risk ◽  
Social Vulnerability ◽  
Emergency Managers ◽  
The Social ◽  
The Us ◽  
At Risk Populations ◽  
Negative Impacts ◽  
Social Vulnerabilities ◽  
The Impact

Abstract All regions of the US experience disasters which result in a number of negative public health consequences. Some populations have higher levels of social vulnerability and, thus, are more likely to experience negative impacts of disasters including emotional distress, loss of property, illness, and death. To mitigate the impact of disasters on at-risk populations, emergency managers must be aware of the social vulnerabilities within their community. This paper describes a qualitative study which aimed to understand how emergency managers identify social vulnerabilities, also referred to as at-risk populations, in their populations and barriers and facilitators to current approaches. Findings suggest that although public health tools have been developed to aid emergency managers in identifying at-risk populations, they are not being used consistently. Emergency managers requested more information on the availability of tools as well as guidance on how to increase ability to identify at-risk populations.

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