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Using the Haddon matrix to explore medical response strategies for terrorist subway bombings
BACKGROUND: Since the 1970s, terrorist bombings in subways have been frequently occurring worldwide. To cope with this threat and to provide medical response countermeasures, we analyzed the characteristics of subway bombing terrorist attacks and used the Haddon matrix to explore medical response st...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567631/ https://www.ncbi.nlm.nih.gov/pubmed/31200760 http://dx.doi.org/10.1186/s40779-019-0209-6 |
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author | Yan, Tie-Cheng Yu, Min |
author_facet | Yan, Tie-Cheng Yu, Min |
author_sort | Yan, Tie-Cheng |
collection | PubMed |
description | BACKGROUND: Since the 1970s, terrorist bombings in subways have been frequently occurring worldwide. To cope with this threat and to provide medical response countermeasures, we analyzed the characteristics of subway bombing terrorist attacks and used the Haddon matrix to explore medical response strategies. METHODS: First, we analyzed 111 subway bombings from 1970 to 2017 recorded in the Global Terrorism Database to provide a reference for the strategy exploration. Then, we convened an expert panel to use the Haddon matrix to explore the medical response strategies to subway bombings. RESULTS: In recent decades, at least one bombing attack occurs every 3 years. Summarized by the Haddon matrix, the influencing factors of medical responses to conventional subway bombings include the adequacy of first-aid kits and the medical evacuation equipment, the traffic conditions affecting the evacuation, the continuity and stability of communication, as well as the factors exclusively attributed to dirty bomb attacks in subways, such as ionizing radiation protection capabilities, the structure of the radiation sickness treatment network based on the subway lines, and the disposal of radioactive sewage. These factors form the basis of the strategy discussion. CONCLUSION: Since subway bombings are long-term threats, it is necessary to have proper medical response preparation. Based on the Haddon matrix, we explored the medical response strategies for terrorist subway bombings, especially dirty bomb attacks. Haddon matrix can help policymakers systematically find the most important factors, which makes the preparations of the response more efficient. |
format | Online Article Text |
id | pubmed-6567631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65676312019-06-20 Using the Haddon matrix to explore medical response strategies for terrorist subway bombings Yan, Tie-Cheng Yu, Min Mil Med Res Research BACKGROUND: Since the 1970s, terrorist bombings in subways have been frequently occurring worldwide. To cope with this threat and to provide medical response countermeasures, we analyzed the characteristics of subway bombing terrorist attacks and used the Haddon matrix to explore medical response strategies. METHODS: First, we analyzed 111 subway bombings from 1970 to 2017 recorded in the Global Terrorism Database to provide a reference for the strategy exploration. Then, we convened an expert panel to use the Haddon matrix to explore the medical response strategies to subway bombings. RESULTS: In recent decades, at least one bombing attack occurs every 3 years. Summarized by the Haddon matrix, the influencing factors of medical responses to conventional subway bombings include the adequacy of first-aid kits and the medical evacuation equipment, the traffic conditions affecting the evacuation, the continuity and stability of communication, as well as the factors exclusively attributed to dirty bomb attacks in subways, such as ionizing radiation protection capabilities, the structure of the radiation sickness treatment network based on the subway lines, and the disposal of radioactive sewage. These factors form the basis of the strategy discussion. CONCLUSION: Since subway bombings are long-term threats, it is necessary to have proper medical response preparation. Based on the Haddon matrix, we explored the medical response strategies for terrorist subway bombings, especially dirty bomb attacks. Haddon matrix can help policymakers systematically find the most important factors, which makes the preparations of the response more efficient. BioMed Central 2019-06-14 /pmc/articles/PMC6567631/ /pubmed/31200760 http://dx.doi.org/10.1186/s40779-019-0209-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Yan, Tie-Cheng Yu, Min Using the Haddon matrix to explore medical response strategies for terrorist subway bombings |
title | Using the Haddon matrix to explore medical response strategies for terrorist subway bombings |
title_full | Using the Haddon matrix to explore medical response strategies for terrorist subway bombings |
title_fullStr | Using the Haddon matrix to explore medical response strategies for terrorist subway bombings |
title_full_unstemmed | Using the Haddon matrix to explore medical response strategies for terrorist subway bombings |
title_short | Using the Haddon matrix to explore medical response strategies for terrorist subway bombings |
title_sort | using the haddon matrix to explore medical response strategies for terrorist subway bombings |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567631/ https://www.ncbi.nlm.nih.gov/pubmed/31200760 http://dx.doi.org/10.1186/s40779-019-0209-6 |
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