scholarly journals Assessment of social vulnerability to natural hazards in Nepal

2017 ◽  
Vol 17 (12) ◽  
pp. 2313-2320 ◽  
Author(s):  
Dipendra Gautam
Keyword(s):  
Natural Hazards ◽  
Social Vulnerability ◽  
Public Awareness ◽  
Vulnerability Index ◽  
District Level ◽  
Vulnerability Mapping ◽  
Contingency Planning ◽  
Social Vulnerability Index ◽  
Preparedness Planning ◽  
The Social

Abstract. This paper investigates district-wide social vulnerability to natural hazards in Nepal. Disasters such as earthquakes, floods, landslides, epidemics, and droughts are common in Nepal. Every year thousands of people are killed and huge economic and environmental losses occur in Nepal due to various natural hazards. Although natural hazards are well recognized, quantitative and qualitative social vulnerability mapping has not existed until now in Nepal. This study aims to quantify the social vulnerability on a local scale, considering all 75 districts using the available census. To perform district-level vulnerability mapping, 13 variables were selected and aggregated indexes were plotted in an ArcGIS environment. The sum of results shows that only 4 districts in Nepal have a very low social vulnerability index whereas 46 districts (61 %) are at moderate to high social vulnerability levels. Vulnerability mapping highlights the immediate need for decentralized frameworks to tackle natural hazards in district level; additionally, the results of this study can contribute to preparedness, planning and resource management, inter-district coordination, contingency planning, and public awareness efforts.

scholarly journals Assessment of Social Vulnerability to Natural Hazards in Nepal

2017 ◽  
Author(s):  
Dipendra Gautam
Keyword(s):  
Natural Disasters ◽  
Natural Hazards ◽  
Social Vulnerability ◽  
Public Awareness ◽  
District Level ◽  
Vulnerability Mapping ◽  
Contingency Planning ◽  
Preparedness Planning ◽  
Arc Gis ◽  
Gis Environment

Abstract. This paper disseminates district-wise social vulnerability to natural hazards in Nepal. Disasters like earthquake, flood, landslide, epidemic and drought are common in Nepal. Every year thousands of people are killed along with huge economic and environmental losses are reported in Nepal due to various natural disasters. Although natural hazards are well recognized in Nepal, quantitative as well as qualitative social vulnerability mapping does not exist until now. This study aims to fulfil the hiatus of such quantification considering district level social vulnerability to natural hazards using available census. To perform district level vulnerability mapping, 13 variables were selected and aggregated indexes were plotted in Arc GIS environment to depict the level of social vulnerability for all 75 districts in Nepal. Only 4 districts were found to be under very low social vulnerability whereas 46 districts (61 %) were found to be under moderate to high social vulnerability status. Vulnerability mapping highlights the immediate need for decentralized frameworks to tackle natural hazards in district level and the results of this study can contribute to preparedness, planning and resource management, inter-district coordination, contingency planning and public awareness efforts.

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 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.

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