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Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities
BACKGROUND: Climate change significantly threatens human health, particularly in vulnerable municipalities. Multiple climatic, environmental, and socioeconomic factors influence municipal vulnerability. To effectively reduce this vulnerable, evidence-based tools for local decision-makers are needed....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596828/ http://dx.doi.org/10.1093/eurpub/ckad160.229 |
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author | Pereira Barbosa, H Roué-Le Gall, A Thomas, M-F |
author_facet | Pereira Barbosa, H Roué-Le Gall, A Thomas, M-F |
author_sort | Pereira Barbosa, H |
collection | PubMed |
description | BACKGROUND: Climate change significantly threatens human health, particularly in vulnerable municipalities. Multiple climatic, environmental, and socioeconomic factors influence municipal vulnerability. To effectively reduce this vulnerable, evidence-based tools for local decision-makers are needed. This study aims to present the development and application of a multicriteria decision analysis (MCDA) model to assess vulnerability to the health impacts of climate change in French municipalities. METHODS: We selected 59 municipalities to develop and apply the model. The development of the MCDA model involved a literature review on climate change and health, as well as active participation from an interdisciplinary committee composed of members from academic, associative, and professional sectors. This led to identifying 38 indicators to characterize vulnerability based on three components: climatic exposure, environmental and socioeconomic sensitivity, and adaptive capacity. These indicators were used as input to the MCDA model, which applied an outranking method to rank municipalities from most to least vulnerable. RESULTS: The MCDA model generated partial rankings by the components of vulnerability, as well as a complete ranking that integrated the three components. The results revealed the main indicators that explained the rankings and allowed for a typology of municipalities. The results helped prioritize interventions by identifying the indicators that have the greatest impact on the vulnerability of each municipality studied. CONCLUSIONS: This study highlights the importance of considering multiple criteria and their interdependencies when assessing vulnerability. The results of the MCDA model provide an evidence-based tool to support decision-making processes at the local level. The MCDA model is a valuable tool for identifying and prioritizing effective interventions to reduce vulnerability in the studied municipalities. KEY MESSAGES: • The developed MCDA model is a valuable tool for local decision-makers to prioritize interventions and reduce vulnerability. • The developed MCDA model provides a robust evidence-based tool to support decision-making processes. |
format | Online Article Text |
id | pubmed-10596828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105968282023-10-25 Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities Pereira Barbosa, H Roué-Le Gall, A Thomas, M-F Eur J Public Health Parallel Programme BACKGROUND: Climate change significantly threatens human health, particularly in vulnerable municipalities. Multiple climatic, environmental, and socioeconomic factors influence municipal vulnerability. To effectively reduce this vulnerable, evidence-based tools for local decision-makers are needed. This study aims to present the development and application of a multicriteria decision analysis (MCDA) model to assess vulnerability to the health impacts of climate change in French municipalities. METHODS: We selected 59 municipalities to develop and apply the model. The development of the MCDA model involved a literature review on climate change and health, as well as active participation from an interdisciplinary committee composed of members from academic, associative, and professional sectors. This led to identifying 38 indicators to characterize vulnerability based on three components: climatic exposure, environmental and socioeconomic sensitivity, and adaptive capacity. These indicators were used as input to the MCDA model, which applied an outranking method to rank municipalities from most to least vulnerable. RESULTS: The MCDA model generated partial rankings by the components of vulnerability, as well as a complete ranking that integrated the three components. The results revealed the main indicators that explained the rankings and allowed for a typology of municipalities. The results helped prioritize interventions by identifying the indicators that have the greatest impact on the vulnerability of each municipality studied. CONCLUSIONS: This study highlights the importance of considering multiple criteria and their interdependencies when assessing vulnerability. The results of the MCDA model provide an evidence-based tool to support decision-making processes at the local level. The MCDA model is a valuable tool for identifying and prioritizing effective interventions to reduce vulnerability in the studied municipalities. KEY MESSAGES: • The developed MCDA model is a valuable tool for local decision-makers to prioritize interventions and reduce vulnerability. • The developed MCDA model provides a robust evidence-based tool to support decision-making processes. Oxford University Press 2023-10-24 /pmc/articles/PMC10596828/ http://dx.doi.org/10.1093/eurpub/ckad160.229 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Parallel Programme Pereira Barbosa, H Roué-Le Gall, A Thomas, M-F Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities |
title | Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities |
title_full | Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities |
title_fullStr | Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities |
title_full_unstemmed | Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities |
title_short | Assessing Vulnerability to Health Impacts of Climate Change in French Municipalities |
title_sort | assessing vulnerability to health impacts of climate change in french municipalities |
topic | Parallel Programme |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596828/ http://dx.doi.org/10.1093/eurpub/ckad160.229 |
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