community continuity

  • 文章类型: Journal Article
    在没有疫苗的情况下,社交距离和减少旅行等非药物干预措施是减缓COVID-19大流行传播的唯一策略.使用2020年3月至5月在大流行开始时从夏威夷收集的调查数据(n=22,200),调查了将疾病带入州的旅行者传播者与社区传播者之间的差异。除了描述人口统计学属性并将其与那些易受COVID-19影响的人的属性进行比较外,还开发并测试了解释旅行行为的Logit模型。旅行者传播者可能是男性,年轻,返回的学生。社区传播者更可能是男性,基本工人,第一反应者,和暴露风险最高的医务人员。使用空间统计,绘制了高危个体的集群和热点位置。由于交通研究人员能够将他们的关键分析能力和经验与有关移动性和传染病传播的相关数据库相结合,这一分析可以支持应对和减缓大流行蔓延的努力。
    In the absence of a vaccine, nonpharmaceutical interventions such as social distancing and travel reductions were the only strategies for slowing the spread of the COVID-19 pandemic. Using survey data from Hawaii (n = 22,200) collected in March through May of 2020 at the onset of the pandemic, the differences between traveler spreaders who brought the disease into the state and community spreaders were investigated. In addition to describing the demographic attributes and comparing them with attributes of those who were vulnerable to COVID-19, logit models explaining travel behaviors were developed and tested. Traveler spreaders were likely to be male, younger, and returning students. Community spreaders were more likely to be male, essential workers, first responders, and medical personnel at the highest risk of exposure. Using spatial statistics, clusters and hotspot locations of high-risk individuals were mapped. As transportation researchers are in a position to combine their critical analytical capabilities and experience with relevant databases on mobility and the spread of infectious diseases, this analysis could support efforts to respond to and slow the spread of the pandemic.
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  • 文章类型: Journal Article
    COVID-19大流行给交通运输研究人员和从业人员带来了重大挑战,但也带来了前所未有的机遇。在这篇文章中,确定了运输部门工作人员的主要经验教训和知识差距,包括以下内容:(1)公共卫生与交通的整合;(2)支持接触者追踪和旅行者追踪的技术;(3)关注弱势群体,有风险的运营商,顾客,和服务不足的社会成员;(4)重新设计旅行需求模型,以支持社会距离,检疫,和公共卫生干预措施;(5)大数据和信息技术的挑战;(6)公众之间的信任关系,政府,私营部门,(7)灾害期间的冲突管理;(8)跨学科知识和参与的复杂性;(9)培训和教育的需求;(10)支持社区复原力的变革性变革。专注于交通规划和社区复原力,大流行的教训需要针对不同的系统进行分享和定制,服务,模态,和用户。虽然大流行期间的许多干预措施都是基于公共卫生,管理层,回应,recovery,适应,危机导致的运输系统的转变需要多学科的合作,多辖区沟通和协调,和资源共享。需要进一步的研究来支持知识到行动。
    The COVID-19 pandemic has created significant challenges but also unprecedented opportunities for transportation researchers and practitioners. In this article, the major lessons and gaps in knowledge for those working in the transportation sector are identified, including the following: (1) integration between public health and transportation; (2) technology to support contact tracing and tracking of travelers; (3) focus on vulnerable, at-risk operators, patrons, and underserved members of society; (4) re-engineering of travel demand models to support social distancing, quarantine, and public health interventions; (5) challenges with Big Data and information technologies; (6) trust relationships between the general public, government, private sector, and others in disaster management; (7) conflict management during disasters; (8) complexities of transdisciplinary knowledge and engagement; (9) demands for training and education; and (10) transformative change to support community resilience. With a focus on transportation planning and community resilience, the lessons from the pandemic need to be shared and customized for different systems, services, modalities, and users. While many of the interventions during the pandemic have been based on public health, the management, response, recovery, adaptation, and transformation of transportation systems resulting from the crisis require multi-disciplinary, multi-jurisdictional communications and coordination, and resource sharing. Further research to support knowledge to action is needed.
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