| Title: | Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic |
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| Authors: | ID Piraveenan, Mahendra (Author)
ID Sawleshwarkar, Shailendra (Author)
ID Walsh, Michael (Author)
ID Zablotska, Iryna (Author)
ID Bhattacharyya, Samit (Author)
ID Farooqui, Habib Hassan (Author)
ID Bhatnagar, Tarun (Author)
ID Karan, Anup (Author)
ID Murhekar, Manoj (Author)
ID Zodpey, Sanjay P. (Author)
ID Rao, K. S. Mallikarjuna (Author)
ID Pattison, Philippa (Author)
ID Zomaya, Albert Y. (Author)
ID Perc, Matjaž (Author) |
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| Files: |  RAZ_Piraveenan_Mahendra_2021.pdf (506,03 KB)
MD5: D4D76F0C203AFAFB98D4F55B0F9486A0
 https://doi.org/10.1098/rsos.210429
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | Since the recent introduction of several viable vaccines for SARS-CoV-2, vaccination uptake has become the key factor that will determine our success in containing the COVID-19 pandemic. We argue that game theory and social network models should be used to guide decisions pertaining to vaccination programmes for the best possible results. In the months following the introduction of vaccines, their availability and the human resources needed to run the vaccination programmes have been scarce in many countries. Vaccine hesitancy is also being encountered from some sections of the general public. We emphasize that decision-making under uncertainty and imperfect information, and with only conditionally optimal outcomes, is a unique forte of established game-theoretic modelling. Therefore, we can use this approach to obtain the best framework for modelling and simulating vaccination prioritization and uptake that will be readily available to inform important policy decisions for the optimal control of the COVID-19 pandemic. |
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| Keywords: | COVID-19, evolutionary game theory, digital epidemiology, vaccination, social network, public goods game, social physics |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 20.03.2021 |
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| Article acceptance date: | 27.05.2021 |
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| Publication date: | 09.06.2021 |
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| Year of publishing: | 2021 |
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| Number of pages: | str. 1-10 |
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| Numbering: | Letn. 8, št. 6 |
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| PID: | 20.500.12556/DKUM-91116  |
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| UDC: | 53:616-036.22 |
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| ISSN on article: | 2054-5703 |
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| COBISS.SI-ID: | 66542339 |
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| DOI: | 10.1098/rsos.210429 |
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| Publication date in DKUM: | 28.02.2025 |
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| Views: | 0 |
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| Downloads: | 3 |
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| Metadata: |    |
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| Categories: | Misc.
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