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https://ahro.austin.org.au/austinjspui/handle/1/34456| Title: | Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions. | Austin Authors: | Nguyen, Thin;Gupta, Sunil;Raman, Jaishankar;Bellomo, Rinaldo ;Venkatesh, Svetha | Affiliation: | Applied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australia. Applied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australia. Cardiac Surgery Centre for Integrated Critical Care, Department of Medicine and Radiology, University of Melbourne, Melbourne, VIC, Australia. Applied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australia. |
Issue Date: | Dec-2020 | Date: | 2023 | Publication information: | Critical Care and Resuscitation : Journal of the Australasian Academy of Critical Care Medicine 2020-12; 22(4) | 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. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/34456 | DOI: | 10.51893/2020.4.sc1 | ORCID: | Journal: | Critical Care and Resuscitation : Journal of the Australasian Academy of Critical Care Medicine | Start page: | 293 | End page: | 294 | PubMed URL: | 38046867 | Type: | Journal Article |
| Appears in Collections: | Journal articles |
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