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Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World

Disasters disrupt communication channels, infrastructure, and overburden health systems. This creates unique challenges to the functionality of surveillance tools, data collection systems, and information sharing platforms. The WHO Health Emergency and Disaster Risk Management (Health-EDRM) framewor...

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Autores principales: Chan, Emily Ying Yang, Guha-Sapir, Debarati, Dubois, Caroline, Shaw, Rajib, Wong, Chi Sing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997713/
https://www.ncbi.nlm.nih.gov/pubmed/35409599
http://dx.doi.org/10.3390/ijerph19073917
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author Chan, Emily Ying Yang
Guha-Sapir, Debarati
Dubois, Caroline
Shaw, Rajib
Wong, Chi Sing
author_facet Chan, Emily Ying Yang
Guha-Sapir, Debarati
Dubois, Caroline
Shaw, Rajib
Wong, Chi Sing
author_sort Chan, Emily Ying Yang
collection PubMed
description Disasters disrupt communication channels, infrastructure, and overburden health systems. This creates unique challenges to the functionality of surveillance tools, data collection systems, and information sharing platforms. The WHO Health Emergency and Disaster Risk Management (Health-EDRM) framework highlights the need for appropriate data collection, data interpretation, and data use from individual, community, and global levels. The COVID-19 crisis has evolved the way hazards and risks are viewed. No longer as a linear event but as a protracted hazard, with cascading and compound risks that affect communities facing complex risks such as climate-related disasters or urban growth. The large-scale disruptions of COVID-19 show that disaster data must evolve beyond mortality and frequency of events, in order to encompass the impact on the livelihood of communities, differentiated between population groups. This includes relative economic losses and psychosocial damage. COVID-19 has created a global opportunity to review how the scientific community classifies data, and how comparable indicators are selected to inform evidence-based resilience building and emergency preparedness. A shift into microlevel data, and regional-level information sharing is necessary to tailor community-level interventions for risk mitigation and disaster preparedness. Real-time data sharing, open governance, cross-organisational, and inter-platform collaboration are necessary not just in Health-EDRM and control of biological hazards, but for all natural hazards and man-made disasters.
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spelling pubmed-89977132022-04-12 Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World Chan, Emily Ying Yang Guha-Sapir, Debarati Dubois, Caroline Shaw, Rajib Wong, Chi Sing Int J Environ Res Public Health Commentary Disasters disrupt communication channels, infrastructure, and overburden health systems. This creates unique challenges to the functionality of surveillance tools, data collection systems, and information sharing platforms. The WHO Health Emergency and Disaster Risk Management (Health-EDRM) framework highlights the need for appropriate data collection, data interpretation, and data use from individual, community, and global levels. The COVID-19 crisis has evolved the way hazards and risks are viewed. No longer as a linear event but as a protracted hazard, with cascading and compound risks that affect communities facing complex risks such as climate-related disasters or urban growth. The large-scale disruptions of COVID-19 show that disaster data must evolve beyond mortality and frequency of events, in order to encompass the impact on the livelihood of communities, differentiated between population groups. This includes relative economic losses and psychosocial damage. COVID-19 has created a global opportunity to review how the scientific community classifies data, and how comparable indicators are selected to inform evidence-based resilience building and emergency preparedness. A shift into microlevel data, and regional-level information sharing is necessary to tailor community-level interventions for risk mitigation and disaster preparedness. Real-time data sharing, open governance, cross-organisational, and inter-platform collaboration are necessary not just in Health-EDRM and control of biological hazards, but for all natural hazards and man-made disasters. MDPI 2022-03-25 /pmc/articles/PMC8997713/ /pubmed/35409599 http://dx.doi.org/10.3390/ijerph19073917 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Chan, Emily Ying Yang
Guha-Sapir, Debarati
Dubois, Caroline
Shaw, Rajib
Wong, Chi Sing
Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World
title Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World
title_full Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World
title_fullStr Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World
title_full_unstemmed Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World
title_short Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post-COVID-19 World
title_sort challenges of data availability and use in conducting health-edrm research in a post-covid-19 world
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997713/
https://www.ncbi.nlm.nih.gov/pubmed/35409599
http://dx.doi.org/10.3390/ijerph19073917
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