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Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis

BACKGROUND: Many countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with...

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Autores principales: Seidel, Bastian M, Bell, Erica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320503/
https://www.ncbi.nlm.nih.gov/pubmed/25432349
http://dx.doi.org/10.1186/1471-2458-14-1235
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author Seidel, Bastian M
Bell, Erica
author_facet Seidel, Bastian M
Bell, Erica
author_sort Seidel, Bastian M
collection PubMed
description BACKGROUND: Many countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with mental health conditions, Aboriginal people, culturally and linguistically diverse groups, aged people, people with disabilities, rural communities, children, women, and socioeconomically disadvantaged people. METHODS: The study analyses an exhaustive sample of national adaptation policy documents from Annex 1 (‘developed’) countries of the United Nations Framework Convention on Climate Change: 20 documents from 12 countries. A ‘critical computational linguistics’ method was used involving novel software-driven quantitative mapping and traditional critical discourse analysis. RESULTS: The study finds that references to vulnerable groups are relatively little present or non-existent, as well as poorly connected to language about practical strategies and socio-economic contexts, both also little present. CONCLUSIONS: The conclusions offer strategies for developing policy that is better informed by a ‘social determinants of health’ definition of climate vulnerability, consistent with best practice in the literature and global policy prescriptions.
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spelling pubmed-43205032015-02-08 Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis Seidel, Bastian M Bell, Erica BMC Public Health Research Article BACKGROUND: Many countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with mental health conditions, Aboriginal people, culturally and linguistically diverse groups, aged people, people with disabilities, rural communities, children, women, and socioeconomically disadvantaged people. METHODS: The study analyses an exhaustive sample of national adaptation policy documents from Annex 1 (‘developed’) countries of the United Nations Framework Convention on Climate Change: 20 documents from 12 countries. A ‘critical computational linguistics’ method was used involving novel software-driven quantitative mapping and traditional critical discourse analysis. RESULTS: The study finds that references to vulnerable groups are relatively little present or non-existent, as well as poorly connected to language about practical strategies and socio-economic contexts, both also little present. CONCLUSIONS: The conclusions offer strategies for developing policy that is better informed by a ‘social determinants of health’ definition of climate vulnerability, consistent with best practice in the literature and global policy prescriptions. BioMed Central 2014-11-28 /pmc/articles/PMC4320503/ /pubmed/25432349 http://dx.doi.org/10.1186/1471-2458-14-1235 Text en © Seidel and Bell; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Seidel, Bastian M
Bell, Erica
Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
title Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
title_full Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
title_fullStr Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
title_full_unstemmed Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
title_short Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
title_sort health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320503/
https://www.ncbi.nlm.nih.gov/pubmed/25432349
http://dx.doi.org/10.1186/1471-2458-14-1235
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