scholarly journals Measuring Social Vulnerability to Flood Disasters in China

2018 ◽  
Vol 10 (8) ◽  
pp. 2676 ◽  
Author(s):  
Ming Zhang ◽  
Wenbo Xiang ◽  
Meilan Chen ◽  
Zisen Mao
Keyword(s):  
Social Vulnerability ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Vulnerability Index ◽  
Infrastructure Development ◽  
Minimum Income ◽  
The Social ◽  
Final Measurement ◽  
Flood Disasters ◽  
Income Assistance

To proactively prevent losses from flood disasters and subsequent potential human conflicts, it is critical to measure the social vulnerability of a country or a region to flood. In this article, we first propose a list of potential indicators for measuring this social vulnerability. These indicators’ significances are then tested based on their correlation coefficients with a vulnerability index obtained using nonparametric Data Envelopment Analysis. In the final measurement system, there are nine indicators: the proportion of the primary industry, infrastructure development level, income gap between urban and rural residents, the proportion of population over 60 years old, the proportion of children under 14 years old, the number of people receiving minimum income assistance, and the number of disasters per year. We then conduct principal component analysis to evaluate the social vulnerability level. Our results show that the social vulnerability level is mostly impacted by the economic principal component and the demographic and social security principal component. Moreover, our results also confirm that the social vulnerability level to flood in China declined overall from 2003 to 2015.

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>

A vulnerability index for climate related risks in Sweden

2021 ◽  
Author(s):  
Jan Haas ◽  
Konstantinos Karagiorgos ◽  
Lars Nyberg ◽  
Andreas Pettersson
Keyword(s):  
Social Vulnerability ◽  
Social Inequalities ◽  
National Level ◽  
Principal Component ◽  
Vulnerability Index ◽  
Socioeconomic Vulnerability ◽  
Climate Risks ◽  
Spatial Level ◽  
Socio Economic Variables ◽  
The Impact

&lt;p&gt;Social vulnerability is mostly described as specific social inequalities in the context of a disaster. Following this understanding, empirical research focuses on the unequal exposure of different groups to disasters and/or on the unequal capacities of groups to anticipate, cope and recover from the impact of a hazard. Although social vulnerability has recently gained attention in academia, Sweden lacks frameworks and indicators to assess it at a national level.&lt;/p&gt;&lt;p&gt;Following the large amount of publicly available data in Sweden, to address this gap, we present a method for quantifying social vulnerability to climate risks in Swedish municipalities. A large number of variables were collected and analyzed to create quantitative indicators that purport to measure a municipality&amp;#8217;s vulnerability. Using Principal Component Analysis (PCA), the information in the variables was reduced to a smaller number of components and socioeconomic vulnerability scores for each Swedish municipality. The factor analysis resulted in five components explaining more than 75% of the total variance. The resulting components and the final index are mapped for each municipality.&lt;/p&gt;&lt;p&gt;The results show that socio-economic vulnerability is not evenly distributed across Sweden. Apart from those findings the fact that some municipal clusters are much more vulnerable than others, the developed method is a useful tool for comparing socio-economic conditions among municipalities and for identifying susceptible municipalities which are likely to face significant challenges in coping with future natural hazard events.&lt;/p&gt;&lt;p&gt;Preliminary results show similar trends of social vulnerability to natural hazards at a highly resolved spatial level of aggregation as comparted to municipal levels. As studies on social vulnerability are often data-driven and thus performed on larger administrative aggregations, the sub-set of socio-economic variables from Statistics Sweden used in this study was found useful in our approach. In order to explore social vulnerability in conjunction with coastal and fluvial flood scenarios, an interactive web map was created with ArcGIS Dashboards.&lt;/p&gt;

scholarly journals The role of the social vulnerability index in personal protective equipment shortages, number of cases, and associated mortality during the coronavirus disease 2019 (COVID-19) pandemic in Michigan skilled nursing facilities

2020 ◽  
pp. 1-4
Author(s):  
Jennifer J. LeRose ◽  
Courtney Merlo ◽  
Phong Duong ◽  
Kelsi Harden ◽  
Rebecca Rush ◽  
...  
Keyword(s):  
Personal Protective Equipment ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Mortality Rates ◽  
Skilled Nursing Facilities ◽  
Protective Equipment ◽  
Nursing Facilities ◽  
Social Vulnerability Index ◽  
Skilled Nursing ◽  
The Social

Abstract The Social Vulnerability Index (SVI) is used to stratify community need for support during disasters. We evaluated relationships between the SVI and personal protective equipment shortages, COVID-19 caseload, and mortality rates in skilled nursing facilities (SNFs). In SVI quartile 4, personal protective equipment shortages were 2.3 times those in SNFs in quartile 1; COVID-19 case loads were 1.6 times those of SNFs in quartile 1; and mortality rates in were 1.9 times those of SNFs in SVI quartile 1.

scholarly journals The Social Vulnerability Index: Assessing Replicability in Predicting Mortality Over 27 Years

2019 ◽  
Vol 67 (6) ◽  
pp. 1305-1306 ◽  
Author(s):  
Camille Ouvrard ◽  
José Alberto Avila-Funes ◽  
Jean-François Dartigues ◽  
Hélène Amieva ◽  
Maturin Tabue-Teguo
Keyword(s):  
Social Vulnerability ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
The Social

scholarly journals Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis

2019 ◽  
Vol 16 (7) ◽  
pp. 1244 ◽  
Author(s):  
Tu Nguyen ◽  
Patrice Ngangue ◽  
Tarek Bouhali ◽  
Bridget Ryan ◽  
Moira Stewart ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Social Vulnerability ◽  
Chronic Conditions ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
Cross Sectional ◽  
Term Care ◽  
Cross Sectional Analysis ◽  
The Social ◽  
Sectional Analysis

Background: Social aspects play an important role in individual health and should be taken into consideration in the long-term care for people with multimorbidity. Purposes: To describe social vulnerability, to examine its correlation with the number of chronic conditions, and to investigate which chronic conditions were significantly associated with the most socially vulnerable state in patients with multimorbidity. Methods: Cross-sectional analysis from the baseline data of the Patient-Centred Innovations for Persons with Multimorbidity (PACEinMM) Study. Participants were patients attending primary healthcare settings in Quebec, Canada. A social vulnerability index was applied to identify social vulnerability level. The index value ranges from 0 to 1 (1 as the most vulnerable). Spearman’s rank correlation coefficient was calculated for the correlation between the social vulnerability index and the number of chronic conditions. Logistic regression was applied to investigate which chronic conditions were independently associated with the most socially vulnerable state. Results: There were 301 participants, mean age 61.0 ± 10.5, 53.2% female. The mean number of chronic health conditions was 5.01 ± 1.82, with the most common being hyperlipidemia (78.1%), hypertension (69.4%), and obesity (54.2%). The social vulnerability index had a median value of 0.13 (range 0.00–0.78). There was a positive correlation between the social vulnerability index and the number of chronic conditions (r = 0.24, p < 0.001). Obesity, depression/anxiety, and cardiovascular diseases were significantly associated with the most socially vulnerable patients with multimorbidity. Conclusions: There was a significant correlation between social vulnerability and the total number of chronic conditions, with depression/anxiety, obesity, and cardiovascular diseases being the most related to social vulnerability.

scholarly journals The Social Vulnerability Index, Mortality and Disability in Mexican Middle-Aged and Older Adults

Geriatrics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 24
Author(s):  
Natalia Sánchez-Garrido ◽  
Sara G. Aguilar-Navarro ◽  
José Alberto Ávila-Funes ◽  
Olga Theou ◽  
Melissa Andrew ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Adverse Outcomes ◽  
Social Vulnerability Index ◽  
Middle Aged ◽  
Logistic Regression Models ◽  
The Social ◽  
Aging Study ◽  
Different Populations

The social vulnerability index (SVI) independently predicts mortality and others adverse outcomes across different populations. There is no evidence that the SVI can predict adverse outcomes in individuals living in countries with high social vulnerability such as Latin America. The aim of this study was to analyze the association of the SVI with mortality and disability in Mexican middle-aged and older adults. This is a longitudinal study with a follow-up of 47 months, the Mexican Health and Aging Study, including people over the age of 40 years. A SVI was calculated using 42 items stratified in three categories low (<0.36), medium (0.36–0.47), and high (>0.47) vulnerability. We examined the association of SVI with three-year mortality and incident disability. Cox and logistic regression models were fitted to test these associations. We included 14,217 participants (58.4% women) with a mean age of 63.9 years (±SD 10.1). The mean SVI was of 0.42 (±SD 0.12). Mortality rate at three years was 6% (n = 809) and incident disability was 13.2% (n = 1367). SVI was independently associated with mortality, with a HR of 1.4 (95% CI 1.1–1.8, p < 0.001) for the highest category of the SVI compared to the lowest. Regarding disability, the OR was 1.3 (95% CI 1.1–1.5, p = 0.026) when comparing the highest and the lowest levels of the SVI. The SVI was independently associated with mortality and disability. Our findings support previous evidence on the SVI and builds on how this association persists even in those individuals with underlying contextual social vulnerability.

scholarly journals Evaluation of socio-spatial vulnerability of citydwellers and analysis of risk perception: industrial and seismic risks in Mulhouse

2008 ◽  
Vol 8 (5) ◽  
pp. 1029-1040 ◽  
Author(s):  
S. Glatron ◽  
E. Beck
Keyword(s):  
Urban Area ◽  
Social Vulnerability ◽  
Spatial Relationship ◽  
Vulnerability Index ◽  
Spatial Dimension ◽  
Medium Size ◽  
Security Measures ◽  
Cognitive Representations ◽  
Information Campaigns ◽  
The Social

Abstract. Social vulnerability has been studied for years with sociological, psychological and economical approaches. Our proposition focuses on perception and cognitive representations of risks by city dwellers living in a medium size urban area, namely Mulhouse (France). Perception, being part of the social vulnerability and resilience of the society to disasters, influences the potential damage; for example it leads to adequate or inadequate behaviour in the case of an emergency. As geographers, we assume that the spatial relationship to danger or hazard can be an important factor of vulnerability and we feel that the spatial dimension is a challenging question either for better knowledge or for operational reasons (e.g. management of preventive information). We interviewed 491 people, inhabitants and workers, regularly distributed within the urban area to get to know their opinion on hazards and security measures better. We designed and mapped a vulnerability index on the basis of their answers. The results show that the social vulnerability depends on the type of hazard, and that the distance to the source of danger influences the vulnerability, especially for hazards with a precise location (industrial for example). Moreover, the effectiveness of the information campaigns is doubtful, as the people living close to hazardous industries (target of specific preventive information) are surprisingly more vulnerable and less aware of industrial risk.

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