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Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point

Synergized impacts of simultaneous hazards amidst COVID-19 have called for the need for highly collaborative multi-sectoral approaches for disaster preparedness planning. In such a context, this study aims at evaluating the network of stakeholders in the National Early Warning System of Sri Lanka du...

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Detalles Bibliográficos
Autores principales: Jayasekara, Ravindu, Siriwardana, Chandana, Amaratunga, Dilanthi, Haigh, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979636/
https://www.ncbi.nlm.nih.gov/pubmed/35402893
http://dx.doi.org/10.1016/j.pdisas.2022.100228
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author Jayasekara, Ravindu
Siriwardana, Chandana
Amaratunga, Dilanthi
Haigh, Richard
author_facet Jayasekara, Ravindu
Siriwardana, Chandana
Amaratunga, Dilanthi
Haigh, Richard
author_sort Jayasekara, Ravindu
collection PubMed
description Synergized impacts of simultaneous hazards amidst COVID-19 have called for the need for highly collaborative multi-sectoral approaches for disaster preparedness planning. In such a context, this study aims at evaluating the network of stakeholders in the National Early Warning System of Sri Lanka during preparedness planning. Social Network Analysis was used to visualise the network of stakeholders for selected hazard scenarios. Furthermore, a series of key informant interviews were conducted focusing on disaster preparedness planning during the recent multiple hazard scenarios. The findings highlight the need for a framework to guide the stakeholder coordination in preparedness planning for multiple hazards.
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spelling pubmed-89796362022-04-05 Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point Jayasekara, Ravindu Siriwardana, Chandana Amaratunga, Dilanthi Haigh, Richard Prog Disaster Sci Regular Article Synergized impacts of simultaneous hazards amidst COVID-19 have called for the need for highly collaborative multi-sectoral approaches for disaster preparedness planning. In such a context, this study aims at evaluating the network of stakeholders in the National Early Warning System of Sri Lanka during preparedness planning. Social Network Analysis was used to visualise the network of stakeholders for selected hazard scenarios. Furthermore, a series of key informant interviews were conducted focusing on disaster preparedness planning during the recent multiple hazard scenarios. The findings highlight the need for a framework to guide the stakeholder coordination in preparedness planning for multiple hazards. Published by Elsevier Ltd. 2022-04 2022-04-04 /pmc/articles/PMC8979636/ /pubmed/35402893 http://dx.doi.org/10.1016/j.pdisas.2022.100228 Text en © 2022 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Regular Article
Jayasekara, Ravindu
Siriwardana, Chandana
Amaratunga, Dilanthi
Haigh, Richard
Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point
title Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point
title_full Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point
title_fullStr Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point
title_full_unstemmed Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point
title_short Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point
title_sort evaluating the network of stakeholders in multi-hazard early warning systems for multiple hazards amidst biological outbreaks: sri lanka as a case in point
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979636/
https://www.ncbi.nlm.nih.gov/pubmed/35402893
http://dx.doi.org/10.1016/j.pdisas.2022.100228
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