基于SIRS模型的新冠肺炎疫情防控效果评估

Kai Xu, Xiaofeng Xie, X. Hang, Fengying Zhang, Qian Qian, Zongfang Zhou, D. Li, Yu Jiang
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引用次数: 0

摘要

本文基于嵌入复杂网络理论的SIRS流行病模型,结合新冠肺炎疫情传播特点,分别分析了防控和救治对新冠肺炎疫情蔓延和社会网络稳定性的影响。结果表明,新型冠状病毒感染导致社会网络风险稳定。通过预防、控制和治疗,减少了感染人数,从而推动社会网络走向无风险的稳定。治疗比防控更有效。与预防和控制相比,治疗可以更快地使社会网络更加无风险和稳定。
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Assessment of COVID-19 Epidemic Control Efficiency Based on SIRS Model
Based on the SIRS epidemic model embedded in complex network theory and the COVID-19 spreading characteristics, the influence of prevention & control and treatment on the ontagion of COVID-19 and the stability of social network is analyzed separately in this paper. The results show that the contagion of COVID-19 leads to the risk stability of social network. The number of infected persons is decreased by prevention & control and treatment which drives social network to risk-free stability. The treatment is more effective than prevention & control against COVID-19. Compared with prevention & control, treatment can make social network more risk-free and stable faster.
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
24
审稿时长
12 weeks
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