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首页> 外文期刊>JMIR public health and surveillance. >Design and Development of an Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response and Management
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Design and Development of an Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response and Management

机译：城市人口健康观测系统的设计与发展，支持Covid-19大流行准备，响应和管理

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Background COVID-19 is impacting people worldwide and is currently a leading cause of death in many countries. Underlying factors, including Social Determinants of Health (SDoH), could contribute to these statistics. Our prior work has explored associations between SDoH and several adverse health outcomes (eg, asthma and obesity). Our findings reinforce the emerging consensus that SDoH factors should be considered when implementing intelligent public health surveillance solutions to inform public health policies and interventions. Objective This study sought to redefine the Healthy People 2030’s SDoH taxonomy to accommodate the COVID-19 pandemic. Furthermore, we aim to provide a blueprint and implement a prototype for the Urban Population Health Observatory (UPHO), a web-based platform that integrates classified group-level SDoH indicators to individual- and aggregate-level population health data. Methods The process of building the UPHO involves collecting and integrating data from several sources, classifying the collected data into drivers and outcomes, incorporating data science techniques for calculating measurable indicators from the raw variables, and studying the extent to which interventions are identified or developed to mitigate drivers that lead to the undesired outcomes. Results We generated and classified the indicators of social determinants of health, which are linked to COVID-19. To display the functionalities of the UPHO platform, we presented a prototype design to demonstrate its features. We provided a use case scenario for 4 different users. Conclusions UPHO serves as an apparatus for implementing effective interventions and can be adopted as a global platform for chronic and infectious diseases. The UPHO surveillance platform provides a novel approach and novel insights into immediate and long-term health policy responses to the COVID-19 pandemic and other future public health crises. The UPHO assists public health organizations and policymakers in their efforts in reducing health disparities, achieving health equity, and improving urban population health.
机译：背景Covid-19正在影响全世界的人，目前是许多国家的死亡原因。潜在的因素，包括健康的社会决定因素（SDOH），可能会促进这些统计数据。我们的事先工作已经探索了SDOH与若干不利健康结果（例如，哮喘和肥胖）之间的关联。我们的调查结果加强了新兴共识，即在实施智能公共卫生监督解决方案时应考虑SDOH因素，以通知公共卫生政策和干预措施。目的本研究试图重新定义健康的人2030年的Sdoh分类，以适应Covid-19大流行。此外，我们的目标是为城市人口健康观测所提供蓝图并实施一个基于网络的平台，将分类的组级SDOH指标整合到个人和汇总级别的人口健康数据。方法建立omho的过程涉及从多个来源收集和集成数据，将收集的数据分类为驱动程序和结果，包括数据科学技术来计算来自原始变量的可测量指标，并研究识别或开发干预的程度减轻导致不期望的结果的司机。结果我们生成并分类了健康的社会决定因素指标，这些指标与Covid-19相关联。要显示UPHO平台的功能，我们提出了一种原型设计来展示其功能。我们为4个不同的用户提供了一个用例方案。结论UPHO作为实施有效干预的装置，可以作为慢性和传染病的全球平台。奥基监督平台为对Covid-19大流行和其他未来的公共卫生危机的即时和长期健康政策反应提供了一种新的方法和新颖的洞察力。北欧协助公共卫生组织和政策制定者在减少健康差异，实现健康股权，改善城市人口健康方面的努力。

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