COVID-19 Vaccination Strategies Considering Hesitancy Using Particle-Based Epidemic Simulation

  1. Aknur Karabay
  2. Askat Kuzdeuov
  3. Huseyin Atakan Varol

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Abstract

Vaccine hesitancy is one of the critical factors in achieving herd immunity and suppressing the COVID-19 epidemic. Many countries face this as an acute public health issue that diminishes the efficacy of their vaccination campaigns. Epidemic modeling and simulation can be used to predict the effects of different vaccination strategies. In this work, we present an open-source particle-based COVID-19 simulator with a vaccination module capable of taking into account the vaccine hesitancy of the population. To demonstrate the efficacy of the simulator, we conducted extensive simulations for the province of Lecco, Italy. The results indicate that the combination of both high vaccination rate and low hesitancy leads to faster epidemic suppression.

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    SciScore for 10.1101/2021.09.26.21264153: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    No key resources detected.

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  2. Version published to 10.1101/2021.09.26.21264153v1 on medRxiv