Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database

This two-part article examines the global public health (GPH) information system deficits emerging in the coronavirus disease 2019 (COVID-19) pandemic. It surveys past, missed opportunities for public health (PH) information system and operational improvements, examines current megatrend changes to...

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Detalles Bibliográficos
Autores principales: Burkle, Frederick M., Bradt, David A., Green, Joseph, Ryan, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Special Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684195/
https://www.ncbi.nlm.nih.gov/pubmed/33087192
http://dx.doi.org/10.1017/S1049023X20001363
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author Burkle, Frederick M.
Bradt, David A.
Green, Joseph
Ryan, Benjamin J.
author_facet Burkle, Frederick M.
Bradt, David A.
Green, Joseph
Ryan, Benjamin J.
author_sort Burkle, Frederick M.
collection PubMed
description This two-part article examines the global public health (GPH) information system deficits emerging in the coronavirus disease 2019 (COVID-19) pandemic. It surveys past, missed opportunities for public health (PH) information system and operational improvements, examines current megatrend changes to information management, and describes a new multi-disciplinary model for population-based management (PBM) supported by a GPH Database applicable to pandemics and GPH crises.
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spelling pubmed-76841952020-11-24 Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database Burkle, Frederick M. Bradt, David A. Green, Joseph Ryan, Benjamin J. Prehosp Disaster Med Special Report This two-part article examines the global public health (GPH) information system deficits emerging in the coronavirus disease 2019 (COVID-19) pandemic. It surveys past, missed opportunities for public health (PH) information system and operational improvements, examines current megatrend changes to information management, and describes a new multi-disciplinary model for population-based management (PBM) supported by a GPH Database applicable to pandemics and GPH crises. Cambridge University Press 2020-10-22 /pmc/articles/PMC7684195/ /pubmed/33087192 http://dx.doi.org/10.1017/S1049023X20001363 Text en © World Association for Disaster and Emergency Medicine 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Report
Burkle, Frederick M.
Bradt, David A.
Green, Joseph
Ryan, Benjamin J.
Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database
title Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database
title_full Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database
title_fullStr Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database
title_full_unstemmed Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database
title_short Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database
title_sort global public health database support to population-based management of pandemics and global public health crises, part ii: the database
topic Special Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684195/
https://www.ncbi.nlm.nih.gov/pubmed/33087192
http://dx.doi.org/10.1017/S1049023X20001363
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