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COVID-19 data visualization public welfare activity
Visual Informatics ; 2020.
Article | ScienceDirect | ID: covidwho-752746
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic started in early 2020. At the beginning of February, a public welfare activity in epidemic data visualization, jointly launched by China Computer Federation CCF CAD & CG Technical Committee, Alibaba Cloud Tianch, JiqiZhixin, Alibaba Cloud DataV, and DataWhale, was launched with the theme “Fighting the Epidemic with One Mind and Talents like Tianchi.” Developers in general are expected to focus on several demand scenarios, such as epidemic situation display, epidemic popular science, trend prediction, material-supply situation, and rework and return situation of employees from all sectors and areas, to discover the relationship between complex heterogeneous multi-source data, develop various upbeat works and present useful information to the public in a coherent manner. The entry works take the form of data visualization and are divided into two categories popular science publicity and application scenarios. The popular science publicity category includes works for the public, focused on epidemic situation display, epidemic popular science publicity, epidemic prevention and control, and others. The application scenario category consists of the works of frontline officers, which can provide anti-epidemic workers with effective data tools for efficient and intuitive epidemic analysis;offer reliable, understandable, and easily transmitted information for disease prevention;and assist governments, enterprises, and institutions in the fight against COVID-19.

Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Prognostic study Journal: Visual Informatics Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Prognostic study Journal: Visual Informatics Year: 2020 Document Type: Article