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瑞士数字化接触者追踪应用在不同 SARS-CoV-2 大流行波次中的表现:重复横断面分析。

Performance of the Swiss Digital Contact-Tracing App Over Various SARS-CoV-2 Pandemic Waves: Repeated Cross-sectional Analyses.

机构信息

Institute for Implementation Science in Healthcare, University of Zurich, Zurich, Switzerland.

Digital Society Initiative, University of Zurich, Zurich, Switzerland.

出版信息

JMIR Public Health Surveill. 2022 Nov 11;8(11):e41004. doi: 10.2196/41004.

Abstract

BACKGROUND

Digital proximity-tracing apps have been deployed in multiple countries to assist with SARS-CoV-2 pandemic mitigation efforts. However, it is unclear how their performance and effectiveness were affected by changing pandemic contexts and new viral variants of concern.

OBJECTIVE

The aim of this study is to bridge these knowledge gaps through a countrywide digital proximity-tracing app effectiveness assessment, as guided by the World Health Organization/European Center for Prevention and Disease Control (WHO/ECDC) indicator framework to evaluate the public health effectiveness of digital proximity-tracing solutions.

METHODS

We performed a descriptive analysis of the digital proximity-tracing app SwissCovid in Switzerland for 3 different periods where different SARS-CoV-2 variants of concern (ie, Alpha, Delta, and Omicron, respectively) were most prevalent. In our study, we refer to the indicator framework for the evaluation of public health effectiveness of digital proximity-tracing apps of the WHO/ECDC. We applied this framework to compare the performance and effectiveness indicators of the SwissCovid app.

RESULTS

Average daily registered SARS-CoV-2 case rates during our assessment period from January 25, 2021, to March 19, 2022, were 20 (Alpha), 54 (Delta), and 350 (Omicron) per 100,000 inhabitants. The percentages of overall entered authentication codes from positive tests into the SwissCovid app were 9.9% (20,273/204,741), 3.9% (14,372/365,846), and 4.6% (72,324/1,581,506) during the Alpha, Delta, and Omicron variant phases, respectively. Following receipt of an exposure notification from the SwissCovid app, 58% (37/64, Alpha), 44% (7/16, Delta), and 73% (27/37, Omicron) of app users sought testing or performed self-tests. Test positivity among these exposure-notified individuals was 19% (7/37) in the Alpha variant phase, 29% (2/7) in the Delta variant phase, and 41% (11/27) in the Omicron variant phase compared to 6.1% (228,103/3,755,205), 12% (413,685/3,443,364), and 41.7% (1,784,951/4,285,549) in the general population, respectively. In addition, 31% (20/64, Alpha), 19% (3/16, Delta), and 30% (11/37, Omicron) of exposure-notified app users reported receiving mandatory quarantine orders by manual contact tracing or through a recommendation by a health care professional.

CONCLUSIONS

In constantly evolving pandemic contexts, the effectiveness of digital proximity-tracing apps in contributing to mitigating pandemic spread should be reviewed regularly and adapted based on changing requirements. The WHO/ECDC framework allowed us to assess relevant domains of digital proximity tracing in a holistic and systematic approach. Although the Swisscovid app mostly worked, as reasonably expected, our analysis revealed room for optimizations and further performance improvements. Future implementation of digital proximity-tracing apps should place more emphasis on social, psychological, and organizational aspects to reduce bottlenecks and facilitate their use in pandemic contexts.

摘要

背景

数字接触者追踪应用已在多个国家部署,以协助 SARS-CoV-2 大流行缓解工作。然而,尚不清楚其性能和效果如何受到大流行情况变化和新的关注病毒变体的影响。

目的

本研究旨在通过全国范围内的数字接触者追踪应用效果评估来填补这些知识空白,该评估由世界卫生组织/欧洲预防和控制中心(WHO/ECDC)指标框架指导,以评估数字接触者追踪解决方案的公共卫生效果。

方法

我们对瑞士的 SwissCovid 数字接触者追踪应用程序在三个不同时期进行了描述性分析,这三个时期分别是 SARS-CoV-2 关注变体(即 Alpha、Delta 和 Omicron)最流行的时期。在我们的研究中,我们参考了 WHO/ECDC 的数字接触者追踪应用公共卫生效果评估指标框架。我们应用该框架比较了 SwissCovid 应用的性能和效果指标。

结果

从 2021 年 1 月 25 日至 2022 年 3 月 19 日的评估期间,瑞士的平均每日登记 SARS-CoV-2 病例率分别为每 10 万人中有 20 例(Alpha)、54 例(Delta)和 350 例(Omicron)。从阳性测试中输入 SwissCovid 应用的总验证代码的百分比分别为 9.9%(20,273/204,741)、3.9%(14,372/365,846)和 4.6%(72,324/1,581,506)在 Alpha、Delta 和 Omicron 变体阶段。收到 SwissCovid 应用的暴露通知后,58%(37/64,Alpha)、44%(7/16,Delta)和 73%(27/37,Omicron)的应用程序用户寻求检测或进行自我检测。在这些暴露通知个体中,检测阳性率分别为 19%(7/37)在 Alpha 变体阶段、29%(2/7)在 Delta 变体阶段和 41%(11/27)在 Omicron 变体阶段,而在普通人群中分别为 6.1%(228,103/3,755,205)、12%(413,685/3,443,364)和 41.7%(1,784,951/4,285,549)。此外,暴露通知应用程序用户的 31%(20/64,Alpha)、19%(3/16,Delta)和 30%(11/37,Omicron)报告通过手动接触追踪或通过医疗保健专业人员的建议收到强制性隔离令。

结论

在不断变化的大流行环境中,应定期审查数字接触者追踪应用在减轻大流行传播方面的效果,并根据不断变化的要求进行调整。WHO/ECDC 框架使我们能够以整体和系统的方式评估数字接触追踪的相关领域。尽管 Swisscovid 应用程序基本正常运行,但我们的分析显示仍有优化和进一步提高性能的空间。未来实施数字接触者追踪应用程序应更加注重社会、心理和组织方面,以减少瓶颈并促进其在大流行环境中的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdf6/9700234/ecc196513304/publichealth_v8i11e41004_fig1.jpg

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