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

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

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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.

COVID-19 basic reproduction numbergross domestic product(GDP)geographic distancecross-regional spread

年福忠、杨晓晨、师亚勇

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Lanzhou University of Technology,School of Computer & Communication,Lanzhou 730050,China

University of Science and Technology Beijing,School of Computer & Communication Engineering,Beijing 100083,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaInternational S & T Cooperation Projects of Gansu provinceLongyuan Young Innovation Talents and the Doctoral Foundation of LUT

6226603061863025144WCGA166

2024

10.1088/1674-1056/acd7d1

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(1)
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