Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784684768073351168 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8997713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chanemilyyingyang challengesofdataavailabilityanduseinconductinghealthedrmresearchinapostcovid19world AT guhasapirdebarati challengesofdataavailabilityanduseinconductinghealthedrmresearchinapostcovid19world AT duboiscaroline challengesofdataavailabilityanduseinconductinghealthedrmresearchinapostcovid19world AT shawrajib challengesofdataavailabilityanduseinconductinghealthedrmresearchinapostcovid19world AT wongchising challengesofdataavailabilityanduseinconductinghealthedrmresearchinapostcovid19world |