COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records

COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records

In 2019, COVID-19 quickly spread across the world, infecting billions of people and disrupting the normal lives of citizens in every country. Governments, organizations, and research institutions all over the world are dedicating vast resources to research effective strategies to fight this rapidly...

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Bibliographic Details
Main Authors: Hai Lan, Dexuan Sha, Anusha Srirenganathan Malarvizhi, Yi Liu, Yun Li, Nadine Meister, Qian Liu, Zifu Wang, Jingchao Yang, Chaowei Phil Yang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Web scraper
COVID-19
spatiotemporal data
multiple scale
Online Access:https://ieeexplore.ieee.org/document/9446070/

Internet

https://ieeexplore.ieee.org/document/9446070/

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