National Institute of Public Health, Saitama, Japan.
GNU Solidario, GNU Health, Las Palmas de Gran Canaria, Spain.
Yearb Med Inform. 2021 Aug;30(1):38-43. doi: 10.1055/s-0041-1726488. Epub 2021 Apr 21.
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.
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.
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.
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.
新冠疫情大流行是世界上最严重的健康灾难之一，加之信息混乱和错误信息，即所谓的“信息疫情”，情况更加复杂。在本文中，我们讨论了开放技术方法（包括数据共享、可视化和工具）如何应对新冠疫情和信息疫情。
针对 2020 年国际医学信息学协会（IMIA）年报主题对医学信息学和大流行病的参与呼吁，IMIA 开源工作组调查了与在本次大流行中使用自由/开源/免费软件（FLOSS）相关的最新研究。
包括 GNU Health、OpenMRS、DHIS2 在内的 FLOSS 医疗保健项目已从本次疫情的早期阶段开始响应。来自世界各地的卫生组织已经发布了与 COVID-19 相关的数据。公民技术，以及 FLOSS 和开放数据团体的协作工作被认为支持了管理大流行病的集体智慧。
FLOSS 和开放数据已被有效用于应对新冠疫情，而开放的协作方法可以提高对数据的信任度。
