Analysis of radiation diffusion of COVID-19 driven by social attributes

doi:10.1088/1674-1056/acd7d1

IR > 计算机与通信学院

	Analysis of radiation diffusion of COVID-19 driven by social attributes
	Nian, Fuzhong1 ; Yang, Xiaochen 1; Shi, Yayong 2
	2024
发表期刊	CHINESE PHYSICS B
ISSN	1674-1056
卷号	33 期号:1
摘要	This paper first estimated the infectious capacity of COVID-19 based on the time series evolution data of confirmed cases in multiple countries. Then, a method to infer the cross-regional spread speed of COVID-19 was introduced in this paper, which took the gross domestic product (GDP) of each region as one of the factors that affect the spread speed of COVID-19 and studied the relationship between the GDP and the infection density of each region (mainland China, the United States, and EU countries). In addition, the geographic distance between regions was also considered in this method and the effect of geographic distance on the spread speed of COVID-19 was studied. Studies have shown that the probability of mutual infection of these two regions decreases with increasing geographic distance. Therefore, this paper proposed an epidemic disease spread index based on GDP and geographic distance to quantify the spread speed of COVID-19 in a region. The analysis results showed a strong correlation between the epidemic disease spread index in a region and the number of confirmed cases. This finding provides reasonable suggestions for the control of epidemics. Strengthening the control measures in regions with higher epidemic disease spread index can effectively control the spread of epidemics.
关键词	COVID-19 basic reproduction number gross domestic product (GDP) geographic distance cross-regional spread 89.20.-a 89.70.-a 89.75.-k
DOI	10.1088/1674-1056/acd7d1
收录类别	SCIE ; EI
语种	英语
WOS研究方向	Physics
WOS类目	Physics, Multidisciplinary
WOS记录号	WOS:001136596100001
出版者	IOP Publishing Ltd
EI入藏号	20240315398122
EI主题词	COVID-19
EI分类号	461.7 Health Care ; 461.9 Biology
原始文献类型	Article
EISSN	2058-3834
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/169499
专题	计算机与通信学院
通讯作者	Nian, Fuzhong
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China; 2.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Nian, Fuzhong,Yang, Xiaochen,Shi, Yayong. Analysis of radiation diffusion of COVID-19 driven by social attributes[J]. CHINESE PHYSICS B,2024,33(1).
APA	Nian, Fuzhong,Yang, Xiaochen,&Shi, Yayong.(2024).Analysis of radiation diffusion of COVID-19 driven by social attributes.CHINESE PHYSICS B,33(1).
MLA	Nian, Fuzhong,et al."Analysis of radiation diffusion of COVID-19 driven by social attributes".CHINESE PHYSICS B 33.1(2024).