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基于粒子的传染病模拟考虑犹豫因素的 COVID-19 疫苗接种策略。

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

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:1985-1988. doi: 10.1109/EMBC46164.2021.9630797.

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.

摘要

疫苗犹豫是实现群体免疫和抑制 COVID-19 疫情的关键因素之一。许多国家都面临着这一问题,这削弱了他们疫苗接种运动的效果。传染病建模和模拟可用于预测不同疫苗接种策略的效果。在这项工作中,我们提出了一个开源的基于粒子的 COVID-19 模拟器,具有一个疫苗接种模块,能够考虑到人群的疫苗犹豫情况。为了演示模拟器的功效,我们对意大利莱科省进行了广泛的模拟。结果表明,高接种率和低犹豫率的结合可以更快地抑制疫情。

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