提高辖区COVID-19累计病例和死亡监测数据传输效率:应用程序编程接口(api)的当前和未来作用

Diba Khan, Meeyoung Park, Samuel Lerma, Stephen Soroka, D. Gaughan, L. Bottichio, Monika Bray, Mary Fukushima, B. Bregman, Caleb Wiedeman, William Duck, Deborah Dee, A. Gundlapalli, A. Suthar
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引用次数: 1

摘要

在2019冠状病毒病(COVID-19)大流行期间,美国疾病预防控制中心(CDC)在传统的COVID-19病例和死亡报告的基础上,采用COVID-19累计病例和死亡监测(ACS)来跟踪每日累积数字。后来,由于公共卫生管辖区(phj)由于数据对账和更新而修改了历史COVID-19病例和死亡数据,CDC设计了一个手动流程来更新ACS数据集中的这些记录,以提高COVID-19病例和死亡数据的准确性。通过应用程序编程接口(API)自动传输数据,这是一个使软件应用程序能够通信的中介,减少了将数据从phj传输到CDC的时间和精力。但是,api必须满足CDC使用的特定内容要求。截至2022年3月,CDC已经整合了来自3个司法管辖区的COVID-19 ACS api。扩大api的使用可能会提高COVID-19和其他应急响应规划工作的效率,这一点可以从概念验证中得到证明。在本文中,我们将分享api在COVID-19 ACS中的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving efficiency of COVID-19 aggregate case and death surveillance data transmission for jurisdictions: current and future role of application programming interfaces (APIs)
Abstract During the coronavirus disease-2019 (COVID-19) pandemic, the Centers for Disease Control and Prevention (CDC) supplemented traditional COVID-19 case and death reporting with COVID-19 aggregate case and death surveillance (ACS) to track daily cumulative numbers. Later, as public health jurisdictions (PHJs) revised the historical COVID-19 case and death data due to data reconciliation and updates, CDC devised a manual process to update these records in the ACS dataset for improving the accuracy of COVID-19 case and death data. Automatic data transfer via an application programming interface (API), an intermediary that enables software applications to communicate, reduces the time and effort in transferring data from PHJs to CDC. However, APIs must meet specific content requirements for use by CDC. As of March 2022, CDC has integrated APIs from 3 jurisdictions for COVID-19 ACS. Expanded use of APIs may provide efficiencies for COVID-19 and other emergency response planning efforts as evidenced by this proof-of-concept. In this article, we share the utility of APIs in COVID-19 ACS.
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