Harnessing social media in the modelling of pandemics -- challenges and opportunities
type: Item
instance of: scholarly article
title: Harnessing social media in the modelling of pandemics -- challenges and opportunities
zbMATH Open document ID: 1466.92208
author: Joanna Sooknanan
author: Nicholas Mays
published in: Bulletin of Mathematical Biology
publication date: 2021-05-05T00:00:00Z
review text: This paper discusses the challenges as well as opportunities inherent in the use of social media data in modelling pandemics and infectious diseases. The authors first discussed behavioral insights obtained from social media data in modelling SIR epidemics. Data from social media indicative of trends in some behaviors or intentions should be used in models with care. It is essential to incorporate social media data and its characteristic features into models in some suitable ways affecting the model parameters. The effect of social media-based surveillance in early detection and monitoring has been commented. Finally, the authors discussed the good and bad aspects of the use of social media and internet-based data in epidemic modelling.
reviewed by: Yilun Shang
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 91D30
zbMATH DE Number: 7344214
zbMATH Keywords: epidemic model
zbMATH Keywords: infectious disease model
zbMATH Keywords: mathematical biology
MaRDI profile type: Publication
full work available at URL: s11538-021-00895-3
OpenAlex ID: W3140393055
Wikidata QID: Q113900169
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DOI: 10.1007/S11538-021-00895-3
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description: scientific article; zbMATH DE number 7344214