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The state of practice of COVID-19 tracking systems: An inventory study.
Tang, Rong; Erdelez, Sanda; May, Emma; Zhang, Yishan.
  • Tang R; School of Library and Information Science, College of Organizational, Computational, and Information Sciences Simmons University Boston Massachusetts USA.
  • Erdelez S; School of Library and Information Science, College of Organizational, Computational, and Information Sciences Simmons University Boston Massachusetts USA.
  • May E; School of Library and Information Science, College of Organizational, Computational, and Information Sciences Simmons University Boston Massachusetts USA.
  • Zhang Y; School of Library and Information Science, College of Organizational, Computational, and Information Sciences Simmons University Boston Massachusetts USA.
Proc Assoc Inf Sci Technol ; 57(1): e397, 2020.
Article in English | MEDLINE | ID: covidwho-919802
ABSTRACT
In this poster, we report the preliminary results of an inventory of 149 publicly accessible active COVID-19 tracking systems. Key findings include the frequency distribution of the systems' web domain names, the countries where the systems were created, the languages they support, the visual display format, the map platforms, and the data sources. These findings help to advance the knowledge of the data characteristics and design of pandemic surveillance/tracking systems.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Proc Assoc Inf Sci Technol Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Proc Assoc Inf Sci Technol Year: 2020 Document Type: Article