影响美国COVID-19空间传播的社会经济和人口因素

IF 0.4 Q4 ECONOMICS
Miguel Henry, Christopher F. Baum
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引用次数: 0

摘要

随着COVID-19大流行在美国的发展,“热点”随着时间的推移在地理上转移到郊区和农村县,显示出疾病的高患病率。我们根据大流行头几个月(2020年3月1日至2020年5月23日)美国县级COVID-19确诊病例数的每日变化,分析了人口调整后的确诊病例率,以评估邻近县之间的空间依赖性,并量化社会经济和人口因素对COVID-19流行的总体空间影响。我们确实发现了强有力的证据,证明县级社会经济和人口因素会影响空间分布,如性别、种族、民族、人口密度、污染、健康状况和收入。空间因素的相关性表明,周边国家对COVID-19的流行具有显著的积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-economic and demographic factors influencing the spatial spread of COVID-19 in the USA
As the COVID-19 pandemic progressed in the USA, 'hotspots' shifted geographically over time to suburban and rural counties showing a high prevalence of the disease. We analyse population-adjusted confirmed case rates based on daily US county-level variations in COVID-19 confirmed case counts during the first several months of the pandemic (1 March 2020 through 23 May 2020) to evaluate the spatial dependence between neighbouring counties and quantify the overall spatial effect of socio-economic and demographic factors on the prevalence of COVID-19. We indeed find strong evidence of county-level socio-economic and demographic factors influencing the spatial spread such as sex, race, ethnicity, population density, pollution, health conditions, and income. The relevance of the spatial factors suggests that neighbouring counties have a significant and positive effect on the prevalence of COVID-19.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
26
期刊介绍: IJCEE explores the intersection of economics, econometrics and computation. It investigates the application of recent computational techniques to all branches of economic modelling, both theoretical and empirical. IJCEE aims at an international and multidisciplinary standing, promoting rigorous quantitative examination of relevant economic issues and policy analyses. The journal''s research areas include computational economic modelling, computational econometrics and statistics and simulation methods. It is an internationally competitive, peer-reviewed journal dedicated to stimulating discussion at the forefront of economic and econometric research. Topics covered include: -Computational Economics: Computational techniques applied to economic problems and policies, Agent-based modelling, Control and game theory, General equilibrium models, Optimisation methods, Economic dynamics, Software development and implementation, -Econometrics: Applied micro and macro econometrics, Monte Carlo simulation, Robustness and sensitivity analysis, Bayesian econometrics, Time series analysis and forecasting techniques, Operational research methods with applications to economics, Software development and implementation.
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