Social Simulation Model of the Spread and Prevention of the Omicron SARS-CoV-2 Variant
文献类型：期刊论文
| 作者 | Su, Ya2; Pan, Lihu2; Yan, Huimin1; Zhang, Guoyou2; Zhang, Rui2 |
| 刊名 | AXIOMS
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 11期号:12页码:18 |
| 关键词 | Omicron variant B 1 529 COVID-19 urban epidemic prevention and control public health safety virus prevention and control strategy multi-agent modeling |
| DOI | 10.3390/axioms11120660 |
| 通讯作者 | Pan, Lihu(panlh@tyust.edu.cn) |
| 英文摘要 | The enhanced virulence and infectiousness of the Omicron variant of SARS-CoV-2 is having more significant impacts on certain socioeconomic areas, and rapidly suppressing the spread of the epidemic remains a priority for maintaining public health security throughout the world. Thus, we applied multi-agent modeling theory to create a social simulation model of Omicron variant transmission and prevention and control in order to analyze the virus transmission status in complex urban systems and its changing trends under different interventions. By considering the six municipal districts under the jurisdiction of Taiyuan City as examples, we developed state transition rules between five types of resident agents, mobility and contact behavior rules, and rules for patient admission behavior by hospital agents. We then conducted multi-scenario simulation experiments based on single measures of pharmacological and non-pharmacological interventions under non-governmental control as well as multiple interventions in combination to evaluate the effects of different measures on rapidly suppressing the spread of the epidemic. The experimental results demonstrated the utility of the model and the multi-agent modeling method effectively analyzed the transmission trends for the Omicron variant, thereby allowing a comprehensive diagnosis of the future urban epidemic situation and providing an important scientific basis for exploring more accurate normalized prevention and control measures. |
| 资助项目 | Natural Science Foundation of Shanxi[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[2022Y698] |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000902163500001 |
| 出版者 | MDPI |
| 资助机构 | Natural Science Foundation of Shanxi ; Shanxi Province Intelligent Software and Human Machine Environment System Postgraduate Joint Training Demonstration Base ; Excellent Innovation Project for Postgraduates in Shanxi Province-Research |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188981]  |
| 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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Ya,Pan, Lihu,Yan, Huimin,et al. Social Simulation Model of the Spread and Prevention of the Omicron SARS-CoV-2 Variant[J]. AXIOMS,2022,11(12):18. |
| APA | Su, Ya,Pan, Lihu,Yan, Huimin,Zhang, Guoyou,&Zhang, Rui.(2022).Social Simulation Model of the Spread and Prevention of the Omicron SARS-CoV-2 Variant.AXIOMS,11(12),18. |
| MLA | Su, Ya,et al."Social Simulation Model of the Spread and Prevention of the Omicron SARS-CoV-2 Variant".AXIOMS 11.12(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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