Can the Social Vulnerability Index Be Used for More Than Emergency Preparedness? An Examination Using Youth Physical Fitness Data

2016 ◽  
Vol 13 (2) ◽  
pp. 121-130 ◽  
Author(s):  
Jennifer L. Gay ◽  
Sara W. Robb ◽  
Kelsey M. Benson ◽  
Alice White
Keyword(s):  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Emergency Preparedness ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Household Composition ◽  
Minority Status ◽  
Social Vulnerability Index ◽  
The Social

Background:The Social Vulnerability Index (SVI), a publicly available dataset, is used in emergency preparedness to identify communities in greatest need of resources. The SVI includes multiple socioeconomic, demographic, and geographic indicators that also are associated with physical fitness and physical activity. This study examined the utility of using the SVI to explain variation in youth fitness, including aerobic capacity and body mass index.Methods:FITNESSGRAM data from 2,126 Georgia schools were matched at the census tract level with SVI themes of socioeconomic, household composition, minority status and language, and housing and transportation. Multivariate multiple regression models were used to test whether SVI factors explained fitness outcomes, controlling for grade level (ie, elementary, middle, high school) and stratified by gender.Results:SVI themes explained the most variation in aerobic fitness and body mass index for both boys and girls (R2 values 11.5% to 26.6%). Socioeconomic, Minority Status and Language, and Housing and Transportation themes were salient predictors of fitness outcomes.Conclusions:Youth fitness in Georgia was related to socioeconomic, demographic, and geographic themes. The SVI may be a useful needs assessment tool for health officials and researchers examining multilevel influences on health behaviors or identifying communities for prevention efforts.

scholarly journals Applying the Social Vulnerability Index as a Leading Indicator to Protect Fire-Based Emergency Medical Service Responders’ Health

2021 ◽  
Vol 18 (15) ◽  
pp. 8049
Author(s):  
Emily J. Haas ◽  
Alexa Furek ◽  
Megan Casey ◽  
Katherine N. Yoon ◽  
Susan M. Moore
Keyword(s):  
Emergency Response ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Fire Service ◽  
Household Composition ◽  
Fire Departments ◽  
Social Vulnerability Index ◽  
Response Planning ◽  
Leading Indicator ◽  
Increased Risk

During emergencies, areas with higher social vulnerability experience an increased risk for negative health outcomes. However, research has not extrapolated this concept to understand how the workers who respond to these areas may be affected. Researchers from the National Institute for Occupational Safety and Health (NIOSH) merged approximately 160,000 emergency response calls received from three fire departments during the COVID-19 pandemic with the CDC’s publicly available Social Vulnerability Index (SVI) to examine the utility of SVI as a leading indicator of occupational health and safety risks. Multiple regressions, binomial logit models, and relative weights analyses were used to answer the research questions. Researchers found that higher social vulnerability on household composition, minority/language, and housing/transportation increase the risk of first responders’ exposure to SARS-CoV-2. Higher socioeconomic, household, and minority vulnerability were significantly associated with response calls that required emergency treatment and transport in comparison to fire-related or other calls that are also managed by fire departments. These results have implications for more strategic emergency response planning during the COVID-19 pandemic, as well as improving Total Worker Health® and future of work initiatives at the worker and workplace levels within the fire service industry.

scholarly journals Modeling the COVID-19 Vaccination Dynamics in the United States: An Estimation of Coverage Velocity and Carrying Capacity Based on Socio-demographic Vulnerability Indices in California

2021 ◽  
Author(s):  
Alexander Bruckhaus ◽  
Aidin Abedi ◽  
Sana Salehi ◽  
Trevor A Pickering ◽  
Yujia Zhang ◽  
...  
Keyword(s):  
Vaccine Coverage ◽  
Vulnerability Index ◽  
The United States ◽  
Household Composition ◽  
Social Vulnerability Index ◽  
Vaccination Rates ◽  
Group Methods ◽  
The Social ◽  
Data Points ◽  
Maximum Proportion

Introduction: Coronavirus disease 2019 (COVID-19) disparities among vulnerable populations are a paramount concern that extends to COVID-19 vaccine administration. We aim to better characterize the scope of vaccine inequity in California by comparing the Social Vulnerability Index (SVI) of California counties and respective vaccination rates, modeling the growth rate and anticipated maximum proportion of individuals vaccinated by SVI group. Methods: Overall SVI, its four themes, and 9228 data points of daily vaccination numbers across all 58 California counties were used to model, overall and by theme, growth velocity of proportion of population vaccinated and the expected maximum proportion of individuals (at least 1 dose of Pfizer-BioNTech, Moderna, or Johnson & Johnson/Janssen) that will be vaccinated for each theme. Results: Overall high vulnerability counties in California have lower vaccine coverage velocity compared to low and moderate vulnerability counties. The largest disparity in coverage velocity between low and highly vulnerable counties was observed in Theme 3 (minority status & language). However, our model showed that highly vulnerable counties based on Theme 3 are expected to eventually achieve a higher proportion of vaccinated individuals compared to low vulnerable counterparts if current trajectories continue. Counties in the overall low vulnerability category are estimated to achieve a higher proportion of vaccinated individuals when compared to high and moderate vulnerable counties, assuming current trajectories. The largest disparity in asymptotic proportion vaccinated between high and low vulnerable counties was observed in Theme 2 (household composition & disability). Conclusion: This study provides insight into the problem of COVID-19 vaccine disparity across California which can be used to help promote equity during the current pandemic as well as guide the allocation of future vaccines such as COVID-19 booster shots.

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.

Application of the Social Vulnerability Index for Identifying Teen Pregnancy Intervention Need in the United States

2019 ◽  
Vol 23 (11) ◽  
pp. 1516-1524 ◽  
Author(s):  
Chloe W. Yee ◽  
Shayna D. Cunningham ◽  
Jeannette R. Ickovics
Keyword(s):  
United States ◽  
Teen Pregnancy ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
The United States ◽  
Social Vulnerability Index ◽  
The Social

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 Using the social vulnerability index to forecast disaster migration

2020 ◽  
Author(s):  
Chandler Armstrong ◽  
Lance Larkin
Keyword(s):  
Social Vulnerability ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
The Social
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