Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic-Reference-Cited by-同舟云学术

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Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic

Published:2023-09 Issue: Volume:172 Page:113983
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Kellner Domenic,Lowin Maximilian,Hinz Oliver

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference64 articles.

1. The role of data and information quality during disaster response decision-making;Jayawardene;Prog. Disaster Sci.,2021

2. Vision: Towards Real Time Epidemic Vigilance through Online Social Networks: Introducing SNEFT -- Social Network Enabled Flu Trends, in: Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and beyond;Chen,2010

3. How COVID-19 information spread in US the role of twitter as early indicator of epidemics;Comito;IEEE Trans. Serv. Comput.,2021

4. A robust and scalable framework for detecting self-reported illness from twitter;Khan,2012

5. Self-reported COVID-19 symptoms on twitter: an analysis and a research resource;Sarker;J. Am. Med. Inform. Assoc.,2020

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