Understanding of human vulnerability to environmental change has advanced in recent years, but measuring vulnerability and interpreting mobility across many sites differentially affected by change remains a significant challenge. Drawing on longitudinal data collected on the same respondents who were living in coastal areas of Indonesia before the 2004 Indian Ocean tsunami and were re-interviewed after the tsunami, this paper illustrates how the combination of population-based survey methods, satellite imagery and multivariate statistical analyses has the potential to provide new insights into vulnerability, mobility and impacts of major disasters on population well-being. The data are used to map and analyze vulnerability to post-tsunami displacement across the provinces of Aceh and North Sumatra and to compare patterns of migration after the tsunami between damaged areas and areas not directly affected by the tsunami. The comparison reveals that migration after a disaster is less selective overall than migration in other contexts. Gender and age, for example, are strong predictors of moving from undamaged areas but are not related to displacement in areas experiencing damage. In our analyses traditional predictors of vulnerability do not always operate in expected directions. Low levels of socioeconomic status and education were not predictive of moving after the tsunami, although for those who did move, they were predictive of displacement to a camp rather than a private home. This survey-based approach, though not without difficulties, is broadly applicable to many topics in human-environment research, and potentially opens the door to rigorous testing of new hypotheses in this literature.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019446PMC
http://dx.doi.org/10.1080/00045608.2014.892351DOI Listing

Publication Analysis

Top Keywords

survey methods
8
tsunami
6
vulnerability
5
areas
5
studying displacement
4
displacement disaster
4
disaster large
4
large scale
4
scale survey
4
methods sumatra
4

Similar Publications

Background: Recent Australian trends indicate that shave biopsies for diagnosing lesions suspicious of melanoma are increasing, yet reasons for this remain relatively unknown. We sought to understand which factors influence Australian clinicians' use of shave biopsy for managing thin lesions suspicious of melanoma in sites of low cosmetic sensitivity.

Methods: We used a convergent, exploratory mixed-methods design, with a cross-sectional online survey (n = 59) and semi-structured qualitative interviews (n = 15).

View Article and Find Full Text PDF

Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for self-management, which support individuals to take charge of their own health. The usability of DHS, as experienced by patients, is pivotal to adoption.

View Article and Find Full Text PDF

Objective: To measure current levels and experiences of food and water security in Walgett to guide a community-led program and to provide a baseline measure.

Design: A community-led cross-sectional survey conducted in April 2022 by trained local researchers.

Setting: Walgett, a regional town in NSW, Australia.

View Article and Find Full Text PDF

Background: Non-specific symptoms, such as headaches and sleep problems, are more common after disasters. They can become chronic, and impact emotional and physical functioning. However, limited research has focused on such symptoms in the context of a pandemic.

View Article and Find Full Text PDF

Purpose: Understanding patient experience is crucial for advancing patient-centered care and improving hospital service quality. This study aimed to design and validate a Persian version of a patient experience assessment questionnaire to evaluate hospital services.

Methods: This descriptive-analytical study on tool development was conducted cross-sectionally during 2021-2022 in Iran.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!