Prevention schemes for future pandemic cases: mathematical model and experience of interurban multi-agent COVID-19 epidemic prevention

被引:0
作者
Shi Yin
Nan Zhang
机构
[1] Hebei Agricultural University,College of Economics and Management
[2] Harbin Engineering University,School of Economics and Management
来源
Nonlinear Dynamics | 2021年 / 104卷
关键词
COVID-19; Joint prevention and control; Urban governance; Multi-agent collaboration; Urban sustainability transformation; Differential game;
D O I
暂无
中图分类号
学科分类号
摘要
To enhance the effectiveness of epidemic prevention (EP) in urban sustainability transformation, joint prevention and control mechanism should be established to prevent and control the COVID-19 epidemic. The interurban multi-agent EP strategy, as a key component of this mechanism, includes the spontaneous EP model, the superior leading EP model, and the collaborative EP model. In this study, firstly, the theoretical mechanism of the interurban multi-agent EP strategy was analyzed. Then, we proposed a three-party differential game model including factors such as the risk coefficient for the virus infection and EP experience teaching. Finally, prevention strategies, prevention efficiency, and prevention losses were compared under the three models based on theoretical analysis and numerical analysis. The results of this study are as follows. COVID-19 EP should be guided by a model of central government (CG) leadership, interurban collaboration, and social participation. The CG and urban governments (UGs) should comprehensively carry out COVID-19 EP from various aspects, including EP experience teaching, mass EP comfort, the utilization rate of EP funds, and the ability to implement strategies. During the course of the COVID-19 EP, when the CG and UGs transition from spontaneous EP model to a higher-level EP model, the UG’s EP efforts will be enhanced. Under the collaborative EP model, the CG and UGs undergo the highest levels of EP effort. Compared with spontaneous EP model, the superior leading EP model can promote a Pareto improvement for all parties. From the perspective of total loss, the collaborative EP model is superior to the other two EP models. This study not only provides practical guidance for coordinating interurban relationships and enabling multi-agents to fully form joint forces, but also provides theoretical support for the establishment of an interurban joint EP mechanism under unified leadership.
引用
收藏
页码:2865 / 2900
页数:35
相关论文
共 248 条
  • [1] Wong JEL(2020)COVID-19 in Singapore—current experience: critical global issues that require attention and action JAMA 323 1243-1244
  • [2] Leo YS(2020)Responding to Covid-19—a once-in-a-century pandemic? New. Engl. J. Med. 382 1677-1679
  • [3] Tan CC(2020)The experiences of health-care providers during the COVID-19 crisis in China: a qualitative study Lancet. Glob. Health. 8 790-798
  • [4] Gates B(2020)Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China Int. J. Env. Res. Pub. He. 17 1729-8
  • [5] Liu Q(2020)Unpacking the black box: how to promote citizen engagement through government social media during the COVID-19 crisis Comput. Hum. Behav. 110 106380-76
  • [6] Luo D(2020)Challenges to the system of reserve medical supplies for public health emergencies: reflections on the outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic in China Biosci. Trends. 14 3-165
  • [7] Haase JE(2020)World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19) Int. J. Surg. 76 71-357
  • [8] Guo Q(2020)Artificial intelligence (AI) provided early detection of the coronavirus (COVID-19) in China and will influence future urban health policy internationally AI. 1 156-1519
  • [9] Wang XQ(2020)Evaluation of urban green development transformation process for Chinese cities during 2005–2016 J. Clean. Prod. 266 121707-3555
  • [10] Liu S(2020)Assessing air quality changes in large cities during COVID-19 lockdowns: the impacts of traffic-free urban conditions in Almaty Kazakhstan. Sci. Total. Environ. 730 139179-7