20.500.12556/DKUM-91116 Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic 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. COVID-19 evolutionary game theory digital epidemiology vaccination social network public goods game social physics COVID-19 evolucijska teorija iger digitalna epidemiologija cepljenje družbeno omrežje igra javnih dobrin fizika družbe true false true Angleški jezik Slovenski jezik Znanstveno delo 2024-11-08 03:07:05 2025-02-28 10:57:59 2025-03-01 03:12:44 0000-00-00 00:00:00 2021 0 0 str. 1-10 št. 6 Letn. 8 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-03-20 2021-05-27 2021-06-09 53:616-036.22 66542339 10.1098/rsos.210429 2054-5703 RAZ_Piraveenan_Mahendra_2021.pdf RAZ_Piraveenan_Mahendra_2021.pdf 1 D4D76F0C203AFAFB98D4F55B0F9486A0 bd9ed850d70348ad41b1f8f3f311c2bb04f84be3b6d152405e1983cb6d0c8612 5af613e6-f5ba-11ef-a2be-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188909 https://doi.org/10.1098/rsos.210429 0 7569fa6d-f5ba-11ef-a2be-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188910 Fakulteta za naravoslovje in matematiko 0 0 0