Why a Globally Fair COVID-19 Vaccination? An Analysis based on Agent-Based Simulation
Zia, K.
Show abstract
In this paper, an Agent-Based Model (ABM) is proposed to evaluate the impact of COVID-19 vaccination drive in different settings. The main focus is to evaluate the counter-effectiveness of disparity in vaccination drive among different regions / countries. The model proposed is simple yet novel in the sense that it captures the spatial transmission-induced activity into consideration, through which we are able to relate transmission model to the mutated variations of the virus. Some important what-if questions are asked in terms of number of deaths, and time required and percentage of population needed to be vaccinated before the pandemic is eradicate. The simulation results have revealed that it is necessary to maintain a global (rather than regional or country oriented) vaccination drive in case of a new pandemic or continual efforts against COVID-19.
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