Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models

Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models

The emergence of the novel coronavirus (COVID-19) generated a need to quickly and accurately assemble up-to-date information related to its spread. In this research article, we propose two methods in which Twitter is useful when modelling the spread of COVID-19: (1) machine learning algorithms train...

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Bibliographic Details
Main Authors: Conor Rosato, Robert E. Moore, Matthew Carter, John Heap, John Harris, Jose Storopoli, Simon Maskell
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Information
Subjects:
social media
machine learning
origin destination matrices
disease modelling
death predictions
Online Access:https://www.mdpi.com/2078-2489/14/3/170

Internet

https://www.mdpi.com/2078-2489/14/3/170

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