RAPID: Development of an Interactive Web-based Dashboard to Track COVID-19 in Real-time

RAPID：开发基于网络的交互式仪表板来实时跟踪 COVID-19

• 批准号: 2028604
• 负责人: Lauren Gardner
• 金额: $ 20万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2028604&HistoricalAwards=false
• 关键词: RAPID; Development; Interactive; Web; based

pThis Rapid Response Research (RAPID) grant will be used to support the management and development of the COVID-19 online interactive dashboard hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The dashboard was first released publicly on January 22, 2020 to visualize and track the COVID-19 outbreak in real-time, and has since served as the prominent centralized source of COVID-19 epidemiological data throughout the COVID-19 outbreak to date. The dashboard illustrates the location and number of confirmed cases, deaths and recoveries for all affected countries, with additional features added over time. Further, all the data collected and displayed is made freely available to researchers, public health authorities and the general public in a GitHub repository, along with the feature layers of the dashboard. The availability of this data at the initial stages of the outbreak enabled the public health and research community to implement modeling tools, specifically the calibration of parameters for estimating transmission and spread at the earliest stages of the outbreak, when more formal situation reports were lagging, and thus gain a better understanding of the disease characteristics early on, which allowed for evidenced based decision making. Further, members of the public health community, including national and local level governmental organizations and public health offices around the world, continue to rely on the dashboard for informing, planning, and decision making regarding public safety, such as clinical staffing and resource allocation./ppGiven the popularity and impact of the dashboard to date, there is a need to continue to maintain it, and further build out its capabilities. Specifically, this includes the collection and curation process to capture data from a broader set of sources, enabling an increase in the spatial resolution (ideally to the city level) of the reporting. Introduction of additional features, including health-related context and confidence measures for the data and information presented, will increase the dashboard's utility in supporting awareness and decision-making. Additional model and analytic research and development will enhance detection and classification, and more broadly, relative risk determination of events of concern from all sourced health related data. Longer term, systems engineering activities associated with this development will ensure an enduring capability established, vetted, and well-used prior to the next potential pandemic. Thus, the research efforts are critical to provide an early-warning system for future public health events, and help inform control measures in the current and future outbreaks./ppThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria./p

PITHIS快速响应研究（Rapid）赠款将用于支持约翰·霍普金斯大学系统科学与工程中心（CSSE）托管的Covid-19在线互动仪表板的管理和开发。该仪表板于2020年1月22日首次公开发布，以实时可视化和跟踪Covid-19爆发，此后一直是COVID-19-19的流行病学数据的著名集中来源。仪表板说明了所有受影响国家的确认案件，死亡和恢复的位置和数量，随着时间的推移增加了其他功能。此外，所有收集和显示的数据均可在GitHub存储库中自由提供给研究人员，公共卫生当局和公众，以及仪表板的功能层。在暴发的初始阶段，该数据的可用性使公共卫生和研究社区能够实施建模工具，特别是对参数进行校准，用于估算爆发最早的传播和传播的参数，当时更正式的情况报告落后，因此可以更好地了解疾病特征，从而使经历的基于经历的决策。此外，公共卫生社区的成员，包括国家和地方政府组织以及世界各地的公共卫生办公室，继续依靠仪表板来告知，计划和决策有关公共安全的信息，例如临床人员配备和资源分配。/ppgggggggggggndashboard迄今为止仪表板的受欢迎程度和影响，迄今为止，需要继续维持其能力，并进一步构建其能力。具体来说，这包括收集和策展过程，以从一组更广泛的来源捕获数据，从而可以增加报告的空间分辨率（理想情况到城市级别）。 引入其他功能，包括与健康相关的上下文以及提出的数据和信息的置信度措施，将增加仪表板在支持意识和决策方面的效用。 其他模型和分析研究和开发将增强检测和分类，更广泛地，从所有与健康相关的数据中对关注事件的相对风险确定。从长远来看，与此开发相关的系统工程活动将确保在下一次大流行之前建立，审查和良好的持久能力。因此，研究工作对于为未来的公共卫生事件提供早期训练系统至关重要，并帮助在当前和将来的爆发中为控制措施提供信息。/ppthisAward反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛影响的评估来提供支持的，并进行了更广泛的影响。

项目成果

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.

• DOI: 10.1073/pnas.2113561119
• 发表时间: 2022-04-12
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1