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Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples

Overview of attention for article published in Journal of Urban Health, September 2014
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Title
Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples
Published in
Journal of Urban Health, September 2014
DOI 10.1007/s11524-014-9901-8
Pubmed ID
Authors

Pui Hing Chau, Michael K. Gusmano, Joanna O. Y. Cheng, Sai Hei Cheung, Jean Woo

Abstract

Many world cities have suffered large-scale disasters, causing a significant loss of lives, property damage, and adverse social and economic impact. Those who are most vulnerable during and in the immediate aftermath of disaster crises are the elderly. Therefore, it is imperative to identify them and determine their specific needs in order to support them. Although several Social Vulnerability Indexes (SVIs) have been developed to assess different types of disaster vulnerability across geographic and population levels, few have been tailored to the older population. Building on the research of Gusmano et al., this study modifies and uses an SVI specifically designed to assess the vulnerability of older populations to emergencies and disasters across seven domains, namely, population size, institutionalization, poverty, living alone, disability, communication obstacles, and access to primary care. Moreover, it is acknowledged that availability of data largely depends on the local context and is always a barrier to production of indices across countries. The present study offers suggestions on how modifications can be made for local adaptation such that the SVI can be applied in different cities and localities. The SVI used in this study provides information to stakeholders in emergency preparedness, not only about natural disasters but also about health hazards and emergencies, which few existing SVI address.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Student > Master 13 13%
Researcher 9 9%
Student > Doctoral Student 7 7%
Professor > Associate Professor 6 6%
Other 15 15%
Unknown 31 30%
Readers by discipline Count As %
Social Sciences 15 15%
Medicine and Dentistry 12 12%
Nursing and Health Professions 11 11%
Environmental Science 7 7%
Economics, Econometrics and Finance 5 5%
Other 18 18%
Unknown 34 33%