A Warning System for the Return of COVID-19 Using Social Media Data

Shan Shan, Yulei Li

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

Epidemic research can be enhanced through the use of social media data, an authoritative new data source that can not only be used to identify an epidemic and track the path of a disease but also for risk assessment and analysis. Existing research generally focuses on tracking tasks and epidemic types, but the relationship between applicable tasks and technical methods is rarely considered. In contrast, this research summarises the characteristics of social media data, emphasizing data and method dependencies, while identifying the processing methods used for diverse epidemic warning tasks. This work provides a reference for the application of social media data in epidemic research as well as a warning system for the return of COVID-19.
Original languageEnglish
Title of host publication2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
Subtitle of host publicationWay Towards a Sustainable Economy, ICDABI 2020
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-7281-9675-6
DOIs
Publication statusPublished - 20 Jan 2021
Externally publishedYes
Event2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy - Sakheer, Bahrain
Duration: 26 Oct 202027 Oct 2020

Publication series

Name2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

Conference

Conference2020 International Conference on Data Analytics for Business and Industry
Abbreviated titleIEEE-ICDABI
Country/TerritoryBahrain
CitySakheer
Period26/10/2027/10/20

Bibliographical note

Free via IEEE Xplore website

Keywords

  • coronavirus warning
  • COVID-19
  • continued learning
  • epidemic research
  • social media data

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