Assessment Model for Rapid Suppression of SARS-CoV-2 Transmission under Government Control
文献类型：期刊论文
| 作者 | Pan, Lihu1,2; Su, Ya1; Yan, Huimin2; Zhang, Rui1 |
| 刊名 | TROPICAL MEDICINE AND INFECTIOUS DISEASE
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 7期号:12页码:22 |
| 关键词 | multi-agent modeling public health security SARS-CoV-2 transmission urban outbreak prevention and control virus prevention and control strategies |
| DOI | 10.3390/tropicalmed7120399 |
| 通讯作者 | Pan, Lihu(panlh@tyust.edu.cn) |
| 英文摘要 | The rapid suppression of SARS-CoV-2 transmission remains a priority for maintaining public health security throughout the world, and the agile adjustment of government prevention and control strategies according to the spread of the epidemic is crucial for controlling the spread of the epidemic. Thus, in this study, a multi-agent modeling approach was developed for constructing an assessment model for the rapid suppression of SARS-CoV-2 transmission under government control. Different from previous mathematical models, this model combines computer technology and geographic information system to abstract human beings in different states into micro-agents with self-control and independent decision-making ability; defines the rules of agent behavior and interaction; and describes the mobility, heterogeneity, contact behavior patterns, and dynamic interactive feedback mechanism of space environment. The real geospatial and social environment in Taiyuan was considered as a case study. In the implemented model, the government agent could adjust the response level and prevention and control policies for major public health emergencies in real time according to the development of the epidemic, and different intervention strategies were provided to improve disease control methods in the simulation experiment. The simulation results demonstrate that the proposed model is widely applicable, and it can not only judge the effectiveness of intervention measures in time but also analyze the virus transmission status in complex urban systems and its change trend under different intervention measures, thereby providing scientific guidance to support urban public health safety. |
| WOS关键词 | COVID-19 ; DYNAMICS ; PREDICTION ; CHINA ; SEIR |
| 资助项目 | A large-scale artificial social model simulation based on high performance computing, China[201901D111258] ; Shanxi Province Intelligent Software and Human Machine Environment System Postgraduate Joint Training Demonstration Base[2022JD11] ; Excellent Innovation Project for Postgraduates in Shanxi Province - Research on multi-agent simulation model of COVID-19 spread and prevention and control based on mesoscience[2022Y698] |
| WOS研究方向 | Infectious Diseases ; Parasitology ; Tropical Medicine |
| 语种 | 英语 |
| WOS记录号 | WOS:000904219700001 |
| 出版者 | MDPI |
| 资助机构 | A large-scale artificial social model simulation based on high performance computing, China ; Shanxi Province Intelligent Software and Human Machine Environment System Postgraduate Joint Training Demonstration Base ; Excellent Innovation Project for Postgraduates in Shanxi Province - Research on multi-agent simulation model of COVID-19 spread and prevention and control based on mesoscience |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188726]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Pan, Lihu |
| 作者单位 | 1.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China 2.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Lihu,Su, Ya,Yan, Huimin,et al. Assessment Model for Rapid Suppression of SARS-CoV-2 Transmission under Government Control[J]. TROPICAL MEDICINE AND INFECTIOUS DISEASE,2022,7(12):22. |
| APA | Pan, Lihu,Su, Ya,Yan, Huimin,&Zhang, Rui.(2022).Assessment Model for Rapid Suppression of SARS-CoV-2 Transmission under Government Control.TROPICAL MEDICINE AND INFECTIOUS DISEASE,7(12),22. |
| MLA | Pan, Lihu,et al."Assessment Model for Rapid Suppression of SARS-CoV-2 Transmission under Government Control".TROPICAL MEDICINE AND INFECTIOUS DISEASE 7.12(2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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