Individual preferences, government policy, and COVID-19: A game-theoretic epidemiological analysis
Article
Article Title | Individual preferences, government policy, and COVID-19: A game-theoretic epidemiological analysis |
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ERA Journal ID | 48 |
Article Category | Article |
Authors | Zhou, Yuxun, Rahman, Mohammad Mafizur, Khanam, Rasheda and Taylor, Brad R. |
Journal Title | Applied Mathematical Modelling: simulation and computation for engineering and environmental systems |
Journal Citation | 122, pp. 401-416 |
Number of Pages | 16 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | United States |
ISSN | 0307-904X |
1872-8480 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.apm.2023.06.014 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0307904X2300269X |
Abstract | Purpose Methodology Findings Originality/value |
Keywords | Signaling game; Basic reproduction number; Pooling equilibrium; Seair model |
Related Output | |
Is part of | Emergency public health management: a game theoretic analysis |
ANZSRC Field of Research 2020 | 490199. Applied mathematics not elsewhere classified |
380102. Behavioural economics | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
This article is part of a UniSQ Thesis by publication. See Related Output. | |
Byline Affiliations | School of Business |
https://research.usq.edu.au/item/yyx26/individual-preferences-government-policy-and-covid-19-a-game-theoretic-epidemiological-analysis
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