The impact of social versus individual learning for agents' risk perception during epidemics

Abdulkareem, SA; Augustijn, EW; Musial, K; Mustafa, YT; Filatova, T

The impact of social versus individual learning for agents' risk perception during epidemics

Abdulkareem, SA Augustijn, EW Musial, K

Mustafa, YT Filatova, T

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE 14th International Conference on eScience, e-Science 2018, 2018, pp. 297 - 298
Issue Date:: 2018-12-24

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Field	Value	Language
dc.contributor.author	Abdulkareem, SA	en_US
dc.contributor.author	Augustijn, EW	en_US
dc.contributor.author	Musial, K https://orcid.org/0000-0001-6038-7647	en_US
dc.contributor.author	Mustafa, YT	en_US
dc.contributor.author	Filatova, T https://orcid.org/0000-0002-3546-6930	en_US
dc.date.available	2020-12-31T18:05:07Z
dc.date.issued	2018-12-24	en_US
dc.identifier.citation	Proceedings - IEEE 14th International Conference on eScience, e-Science 2018, 2018, pp. 297 - 298	en_US
dc.identifier.isbn	9781538691564	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132247
dc.description.abstract	© 2018 IEEE. Epidemics have always been a source of concern to people, both at the individual and government level. To fight outbreaks effectively, we need advanced tools that enable us to understand the factors that influence the spread of life-threatening diseases.	en_US
dc.relation.ispartof	Proceedings - IEEE 14th International Conference on eScience, e-Science 2018	en_US
dc.relation.isbasedon	10.1109/eScience.2018.00060	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The impact of social versus individual learning for agents' risk perception during epidemics	en_US
dc.type	Conference Proceeding
utslib.for	1103 Clinical Sciences	en_US
utslib.for	1117 Public Health and Health Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Epidemics have always been a source of concern to people, both at the individual and government level. To fight outbreaks effectively, we need advanced tools that enable us to understand the factors that influence the spread of life-threatening diseases.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132247