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Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions.
Nguyen, Thin; Gupta, Sunil; Raman, Jaishankar; Bellomo, Rinaldo; Venkatesh, Svetha.
  • Nguyen T; Applied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australia. thin.nguyen@deakin.edu.au.
  • Gupta S; Applied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australia.
  • Raman J; Department of Cardiac Surgery, University of Melbourne, Austin Hospital, Melbourne, VIC, Australia.
  • Bellomo R; Centre for Integrated Critical Care, Department of Medicine and Radiology, University of Melbourne, Melbourne, VIC, Australia.
  • Venkatesh S; Applied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australia.
Crit Care Resusc ; 2020 Sep 24.
Article in English | MEDLINE | ID: covidwho-891840
ABSTRACT
Using geotagged Twitter data in Victoria, we created a mobility index and studied the changes during the staged restrictions during the coronavirus disease 2019 (COVID-19) pandemic. We describe preliminary evidence that geotagged Twitter data may be used to provide real-time population mobility data and information on the impact of restrictions on such mobility.
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Collection: International databases Database: MEDLINE Language: English Journal subject: Critical Care Year: 2020 Document Type: Article Affiliation country: Australia

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Collection: International databases Database: MEDLINE Language: English Journal subject: Critical Care Year: 2020 Document Type: Article Affiliation country: Australia