@inproceedings{b511ed0b62b147999b33f94fbb511ffe,
title = "A Warning System for the Return of COVID-19 Using Social Media Data",
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.",
keywords = "coronavirus warning, COVID-19, continued learning, epidemic research, social media data",
author = "Shan Shan and Yulei Li",
note = "Free via IEEE Xplore website; 2020 International Conference on Data Analytics for Business and Industry : Way Towards a Sustainable Economy, IEEE-ICDABI ; Conference date: 26-10-2020 Through 27-10-2020",
year = "2021",
month = jan,
day = "20",
doi = "10.1109/ICDABI51230.2020.9325668",
language = "English",
series = "2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020",
publisher = "IEEE",
pages = "1--5",
booktitle = "2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)",
address = "United States",
}