Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model

Tianyi Luo, Zhidong Cao, Pengfei Zhao, D. Zeng, Qingpeng Zhang
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Abstract

The 2019 Novel Coronavirus Disease (COVID-19) vaccines have been placed significant expectation to end the COVID-19 pandemic sooner. However, issues related to vaccines still need to be resolved urgently, including the vaccination number and range. In this paper, we proposed an epidemic spread model based on the hierarchical weighted network. This model fully considers the heterogeneity of the community social contact network and the epidemiological characteristics of COVID-19 in China, which enables to evaluate the potential impact of vaccine efficacy, vaccination schemes, and mixed interventions on the epidemic. The results show that a mass vaccination can effectively control the epidemic but cannot completely eliminate it. In the case of limited resources, giving vaccination priority to the individuals with high contact intensity in the community is necessary. Joint implementation with non-pharmacological interventions strengthening the control of virus transmission. The results provide insights for decision-makers with effective vaccination plans and prevention and control programs.
利用层次加权接触网络模型评价疫苗接种对COVID-19大流行的影响
人们对2019年新型冠状病毒病(COVID-19)疫苗寄予厚望,希望能早日结束COVID-19大流行。然而,与疫苗有关的问题仍然迫切需要解决,包括疫苗接种的数量和范围。本文提出了一种基于层次加权网络的传染病传播模型。该模型充分考虑了中国社区社会接触网络的异质性和COVID-19的流行病学特征,能够评估疫苗有效性、疫苗接种方案和混合干预措施对疫情的潜在影响。结果表明,大规模疫苗接种能有效控制该病的流行,但不能完全消除该病。在资源有限的情况下,必须优先对社区中接触强度高的个人进行疫苗接种。联合实施非药物干预措施,加强对病毒传播的控制。研究结果为决策者制定有效的疫苗接种计划和预防控制规划提供了参考。
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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