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| Spatial Distribution Trend Novel Coronavirus Pneumonia Epidemic in China and Analysis of Its Related Factors |
| Gong Wuqing1, Peng Houxue1, Chen Jianguo1, Min Ming1, Peng Shusheng1, Luo Jun2 |
1. Qingbaijiang District People's Hospital Group,Chengdu 610000,China;
2. People's Hospital of Chengdu,Chengdu 610000,China |
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Abstract Objective To explore the correlation between the epidemic trend of COVID - 19 and the population,population density,GDP,per capita GDP,population aging ratio,public transport passenger flow,distance from the source of disease and other factors in each province and Hubei province,so as to provide scientific guidance for epidemic prevention and control.Methods according to the National Bureau of Statistics released the 2019 annual China provinces and cities in Hubei province GDP data and 2019 provinces population sample data,combined with the provincial and municipal health committee released COVID - 19 confirmed cases data with SPSS 20.0 software,the Spearman correlation analysis and stepwise linear multiple factors regression analysis,the number of confirmed cases of provinces and cities and population density of population,GDP,per capita GDP,the proportion of ageing,passenger traffic,the relevance of such factors as the distance from Wuhan.Results the number of COVID-19 infection was positively correlated with traffic network and economic vitality,but negatively correlated with geographical proximity.There is no correlation with population density,per capita GDP and aging ratio.Conclusion the epidemic trend of COVID - 19 was positively correlated with population,GDP and passenger volume,and negatively correlated with the distance from Wuhan.
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Received: 19 November 2020
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2021, Vol. 41 
