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.
M. Piraveenan, S. Sawleshwarkar, M. Walsh, I. Zablotska, S. Bhattacharyya, H. H. Farooqui, T. Bhatnagar, A. Karan, M. Murhekar, S. Zodpey, K. Mallikarjuna Rao, P. Pattison, A. Zomaya, M. Perc, Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic, Royal Society Open Science 8 (6) (2021)