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首页> 外文期刊>Journal of the American Planning Association >Does Density Aggravate the COVID-19 Pandemic?Early Findings and Lessons for Planners
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Does Density Aggravate the COVID-19 Pandemic?Early Findings and Lessons for Planners

机译:密度是否加剧了Covid-19流行病的?早期调查结果和课程的课程

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Problem, research strategy, and findings:The impact of density on emerging highly contagious infectious diseases has rarely been studied. In theory, dense areas lead to more face-to-face interaction among residents, which makes them potential hotspots for the rapid spread of pandemics. On the other hand, dense areas may have better access to health care facilities and greater implementation of social distancing policies and practices. The current COVID-19 pandemic is a perfect case study to investigate these relationships. Our study uses structural equation modeling to account for both direct and indirect impacts of density on the COVID-19 infection and mortality rates for 913 U.S. metropolitan counties, controlling for key confounding factors. We find metropolitan population to be one of the most significant predictors of infection rates; larger metropolitan areas have higher infection and higher mortality rates. We also find that after controlling for metropolitan population, county density is not significantly related to the infection rate, possibly due to more adherence to social distancing guidelines. However, counties with higher densities have significantly lower virus-related mortality rates than do counties with lower densities, possibly due to superior health care systems. Takeaway for practice:These findings suggest that connectivity matters more than density in the spread of the COVID-19 pandemic. Large metropolitan areas with a higher number of counties tightly linked together through economic, social, and commuting relationships are the most vulnerable to the pandemic outbreaks. They are more likely to exchange tourists and businesspeople within themselves and with other parts, thus increasing the risk of cross-border infections. Our study concludes with a key recommendation that planners continue to advocate dense development for a host of reasons, including lower death rates due to infectious diseases like COVID-19.
机译:问题,研究策略和调查结果:很少研究密度对新兴高度传染性传染病的影响。理论上,浓密的区域导致居民之间的更具面对面的互动,这使得它们潜在的热点用于迅速传播的流行病。另一方面,密集地区可以更好地获得医疗保健设施,更大地实现社会疏散政策和实践。目前的Covid-19 Pandemic是一个完美的案例研究,以调查这些关系。我们的研究使用结构方程模型来占Covid-19感染和913 U.Syropolitan县的死亡率和死亡率的直接和间接影响,控制关键混杂因素。我们发现大都会人口成为感染率最重要的预测因子之一;较大的大都市区具有更高的感染和更高的死亡率。我们还发现,在控制大都市人口后,县密度与感染率没有显着相关,可能是由于更加坚持社会疏远准则。然而,具有较高密度的县具有显着降低的病毒相关的死亡率,而不是较低密度的县,可能是由于卓越的医疗保健系统。外卖实践:这些研究结果表明,连接性差异的关系在Covid-19大流行的蔓延中的厚度越来越重要。大都市地区具有较多的县,通过经济,社会,通勤关系紧密联系在一起,是大流行爆发最容易受到影响的。他们更有可能在自己内部和其他零件内交换游客和商人,从而增加跨境感染的风险。我们的研究结论,策划人员继续为众所周知的原因倡导密集的发展,包括由于Covid-19等传染病而降低死亡率。

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