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SoBigDemicSys: a social media based monitoring system for emerging pandemics with big data
FPT Software AI Center, FPT Software Company Limited, Viet Nam.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-8820-2405
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7788-3986
2022 (English)In: Proceedings - IEEE 8th International Conference on Big Data Computing Service and Applications, BigDataService 2022, IEEE Computer Society, 2022, p. 103-107Conference paper, Published paper (Refereed)
Abstract [en]

The outbreak of Covid-19 pandemic has caused millions of people infected and dead, resulting in global economy depression. Lessons learned to minimize the damage in an emerging pandemic is that timely tracking and reasonable trend prediction are required to help the society (e.g., municipality, institutions, and industries) with timely planning for efficient resource preparation and allocation. This paper presents a system to monitor the pandemic trends, analyze the correlation and impacts, predict the evolution, and visualize the prediction results to end users as social indicators. The significance lies in the fact that tracing online information collection for pandemic related prediction has less time lag, cheaper cost, and more potential information indicators.

Place, publisher, year, edition, pages
IEEE Computer Society, 2022. p. 103-107
Keywords [en]
forecast, monitoring, online big data, pandemic
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-201128DOI: 10.1109/BigDataService55688.2022.00023Scopus ID: 2-s2.0-85141069361ISBN: 9781665458900 (electronic)OAI: oai:DiVA.org:umu-201128DiVA, id: diva2:1713124
Conference
Eighth IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2022, Newark, CA, USA, August 15-18, 2022
Funder
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT), MG2020-8848Available from: 2022-11-24 Created: 2022-11-24 Last updated: 2022-11-24Bibliographically approved

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Vu, Xuan-SonJiang, Lili

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Total: 111 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf