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Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic
Objectives : The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416191/ https://www.ncbi.nlm.nih.gov/pubmed/33882602 http://dx.doi.org/10.1055/s-0041-1726488 |
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author | Kobayashi, Shinji Falcón, Luis Fraser, Hamish Braa, Jørn Amarakoon, Pamod Marcelo, Alvin Paton, Chris |
author_facet | Kobayashi, Shinji Falcón, Luis Fraser, Hamish Braa, Jørn Amarakoon, Pamod Marcelo, Alvin Paton, Chris |
author_sort | Kobayashi, Shinji |
collection | PubMed |
description | Objectives : The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods : In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results : FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion : FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data. |
format | Online Article Text |
id | pubmed-8416191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-84161912021-09-07 Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic Kobayashi, Shinji Falcón, Luis Fraser, Hamish Braa, Jørn Amarakoon, Pamod Marcelo, Alvin Paton, Chris Yearb Med Inform Objectives : The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods : In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results : FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion : FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data. Georg Thieme Verlag KG 2021-08 2021-04-21 /pmc/articles/PMC8416191/ /pubmed/33882602 http://dx.doi.org/10.1055/s-0041-1726488 Text en IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Kobayashi, Shinji Falcón, Luis Fraser, Hamish Braa, Jørn Amarakoon, Pamod Marcelo, Alvin Paton, Chris Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic |
title | Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic |
title_full | Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic |
title_fullStr | Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic |
title_full_unstemmed | Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic |
title_short | Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic |
title_sort | using open source, open data, and civic technology to address the covid-19 pandemic and infodemic |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416191/ https://www.ncbi.nlm.nih.gov/pubmed/33882602 http://dx.doi.org/10.1055/s-0041-1726488 |
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