Predicting the Future of Achieving Herd Immunity in New York City

Qi Zhuo
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Abstract

COVID-19 has a huge impact on the economic and social development of the world. In this paper, a simulation model of virus transmission was developed using the netlogo platform based on the characteristics of humans developing acquired immunity to a virus they once had, and predicted the prospects of achieving herd immunity under two scenarios: no vaccination and vaccination of a certain percentage of the population. The results show that failure to vaccinate leads to a longer duration of the outbreak, as well as an increase in the number of infected individuals and overall mortality. If vaccination is administered, the time to achieve herd immunity will be substantially reduced.
预测纽约市实现群体免疫的未来
新冠肺炎疫情对世界经济社会发展产生巨大影响。本文基于人类对曾经感染过的病毒产生获得性免疫的特点,利用netlogo平台建立了病毒传播的模拟模型,并预测了不接种疫苗和一定比例人群接种疫苗两种情况下实现群体免疫的前景。结果表明,不接种疫苗会导致疫情持续时间更长,感染人数和总死亡率也会增加。如果接种疫苗,实现群体免疫的时间将大大缩短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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