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doi:10.1111/ssqu.2003.84.issue-2

Cited by 42 publications

(7 citation statements)

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“…These characteristics include age, gender, access to resources, and the distribution of income (Tierney et al 2001, Heinz Center 2002, National Research Council 2006. Others characteristics include access to education, governance, institutional capacities, healthcare access, and elements of the built environment such as the density of residential infrastructure (Cutter et al 2003). It is these inherent characteristics of populations that help to redistribute risk before an earthquake event occurs and after an event in terms of the distribution of losses.…”

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

“…It is intended that the economic sub-component be an appraisal of the state of economic health of communities. Relevant indicators include employment status, income, and purchasing power, since these may be utilized as measures of a community's ability to absorb and recover from losses (Cutter et al 2003). Other indicators were included to allow the examination of links that either enhance or reduce the economic stability within communities following an earthquake disaster.…”

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

“…Education is the fourth sub-component, since educational attainment is linked to socioeconomic status, mitigation potential, and recovery potential. It is expected that a higher educational attainment will result in higher lifetime earnings (Cutter et al 2003). Conversely, lower educational attainment could result in lower lifetime earnings.…”

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

“…This was accomplished by taking the inverse of the observation and then rescaling the variable, so that 0 equals low social vulnerability and 1 represents high social vulnerability. Our average monthly income variable provides an example of this form of inverse scaling since income provides the ability of populations to absorb losses and to enhance resilience to hazard impacts (Cutter et al 2003). When scaled by taking the inverse of the value, the highest value for average monthly income within the data set receives a score of zero and the lowest value for that variable receives a score of one.…”

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

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Assessing Integrated Earthquake Risk in OpenQuake with an Application to Mainland Portugal

Burton

Silva

2016

Earthquake Spectra

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At the forefront of the risk assessment sciences is the development of standards, data, and tools for the assessment of earthquake risk. Countries such as Portugal have been targets of extensive earthquake risk assessments to communicate damage potential and to improve methodologies. Few studies, however, have gone beyond the estimation of direct physical impacts by integrating estimates of physical risk (i.e., human or economic losses) with quantified metrics of socioeconomic characteristics of populations. The purpose of this paper is to describe an end-to-end assessment of earthquake risk for mainland Portugal that accounts for physical and social attributes using the Global Earthquake Model's (GEM) suite of risk assessment tools. The results indicate that the potential adverse effects from earthquakes in Portugal are related to interacting conditions, some conditional on geography, some due to the characteristics of the building stock, and some having to do with the social characteristics of populations.

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Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

Section: Social Vulnerability Assessment Methodologymentioning

confidence: 99%

See 2 more Smart Citations

Assessing Integrated Earthquake Risk in OpenQuake with an Application to Mainland Portugal

Burton

Silva

2016

Earthquake Spectra

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“…That is, disasters affect people in different ways, with some shouldering Earthquake Spectra, Volume 29, No. S1, pages S433-S455, March 2013; © 2013, Earthquake Engineering Research Institute a) Disaster Research Center, University of Delaware, 111 Academy Street, Suite 166, Newark, DE 19716 greater risk than others (for further discussion, see Cannon 1994, Anderson and Woodrow 1998, Bolin et al 1998, Cutter et al 2003, McEntire 2004, Wisner et al 2004.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Situated Access on People with Disabilities: An Examination of Sheltering and Temporary Housing after the 2011 Japan Earthquake and Tsunami

Brittingham

Wachtendorf

2013

Earthquake Spectra

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The 11 March 2011 Tohoku-oki earthquake and tsunami that devastated coastal communities in three Japanese prefectures resulted in tremendous loss of life, loss of property, and community disruption. Yet research on the disaster pointed to differential impacts for people with disabilities compared to the rest of the population. Reconnaissance fieldwork took place in Miyagi and Iwate Prefectures 3, 10, and 17 months after the disaster. Interviews and observations point to situated access as a contributor to how and to what extent people with disabilities (PWD) received resources and services. That is, the ability of evacuees to acquire and utilize information, material resources, or services was based both on the physical location of the individual or group (including shelter type to where they evacuated) and the social standpoint or circumstances of the individual or group within that physical location. We offer a close examination of the effect of situational access for people with disabilities in particular. Where limitations were present, they often led to additional disparities.

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Dementia Risk and Disadvantaged Neighborhoods

et al. 2023

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ImportanceResidence in a disadvantaged neighborhood may be associated with an increased risk for cognitive impairment and dementia but is understudied in nationally representative populations.ObjectiveTo investigate the association between the Area Deprivation Index (ADI) and dementia.Design, Setting, and ParticipantsRetrospective cohort study within the US Veterans Health Administration from October 1, 1999, to September 30, 2021, with a national cohort of older veterans receiving care in the largest integrated health care system in the United States. For each fiscal year, a 5% random sample was selected from all patients (n = 2 398 659). Patients with missing ADI information (n = 492 721) or missing sex information (n = 6) and prevalent dementia cases (n = 25 379) were excluded. Participants had to have at least 1 follow-up visit (n = 1 662 863). The final analytic sample was 1 637 484.ExposureNeighborhoods were characterized with the ADI, which combines several sociodemographic indicators (eg, income, education, employment, and housing) into a census block group-level index of disadvantage. Participants were categorized into ADI rank quintiles by their census block group of residence (higher ADI rank quintile corresponds with more deprivation).Main Outcome and MeasuresTime to dementia diagnosis (using International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes) was estimated with Cox proportional hazards models with age as the time scale, and the sensitivity of the findings was evaluated with Fine-Gray proportional hazards models, accounting for competing risk of death.ResultsAmong the 1 637 484 Veterans Health Administration patients, the mean (SD) age was 68.6 (7.7) years, and 198 247 (98.0%) were men. A total of 7318 patients were Asian (0.4%), 151 818 (9.3%) were Black, 10 591 were Hispanic (0.6%), 1 422 713 (86.9%) were White, and 45 044 (2.8%) were of other or unknown race and ethnicity. During a mean (SD) follow-up of 11.0 (4.8) years, 12.8% of veterans developed dementia. Compared with veterans in the least disadvantaged neighborhood quintile, those in greater disadvantage groups had an increased risk of dementia in models adjusted for sex, race and ethnicity, and psychiatric and medical comorbid conditions (first quintile = reference; second quintile adjusted hazard ratio [HR], 1.09 [95% CI, 1.07-1.10]; third quintile adjusted HR, 1.14 [95% CI, 1.12-1.15]; fourth quintile adjusted HR, 1.16 [95% CI, 1.14-1.18]; and fifth quintile adjusted HR, 1.22 [95% CI, 1.21-1.24]). Repeating the main analysis using competing risk for mortality led to similar results.Conclusions and RelevanceResults of this study suggest that residence within more disadvantaged neighborhoods was associated with higher risk of dementia among older veterans integrated in a national health care system.

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Cited by 42 publications

References 0 publications

Assessing Integrated Earthquake Risk in OpenQuake with an Application to Mainland Portugal

Assessing Integrated Earthquake Risk in OpenQuake with an Application to Mainland Portugal

The Effect of Situated Access on People with Disabilities: An Examination of Sheltering and Temporary Housing after the 2011 Japan Earthquake and Tsunami

Dementia Risk and Disadvantaged Neighborhoods

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