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加拿大 COVID 警报应用的流行病学影响。

The epidemiological impact of the Canadian COVID Alert app.

机构信息

Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.

Department of Psychology, McGill University, Montreal, QC, Canada.

出版信息

Can J Public Health. 2022 Aug;113(4):519-527. doi: 10.17269/s41997-022-00632-w. Epub 2022 Jun 7.

DOI:10.17269/s41997-022-00632-w
PMID:35672574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9172601/
Abstract

OBJECTIVES

We analyzed the effectiveness of the Canadian COVID Alert app on reducing COVID-19 infections and deaths due to the COVID-19 virus.

METHODS

Two separate but complementary approaches were taken. First, we undertook a comparative study to assess how the adoption and usage of the COVID Alert app compared to those of similar apps deployed in other regions. Next, we used data from the COVID Alert server and a range of plausible parameter values to estimate the numbers of infections and deaths averted in Canada using a model that combines information on number of notifications, secondary attack rate, expected fraction of transmissions that could be prevented, quarantine effectiveness, and expected size of the full transmission chain in the absence of exposure notification.

RESULTS

The comparative analysis revealed that the COVID Alert app had among the lowest adoption levels among apps that reported usage. Our model indicates that use of the COVID Alert app averted between 6284 and 10,894 infections across the six Canadian provinces where app usage was highest during the March-July 2021 period. This range is equivalent to 1.6-2.9% of the total recorded infections across Canada in that time. Using province-specific case fatality rates, 57-101 deaths were averted during the same period. The number of cases and deaths averted was greatest in Ontario, whereas the proportion of cases and deaths averted was greatest in Newfoundland and Labrador. App impact measures were reported so rarely and so inconsistently by other regions that the relative assessment of impact is inconclusive.

CONCLUSION

While the nationwide rates are low, provinces with widespread adoption of the app showed high ratios of averted cases and deaths (upper bound was greater than 60% of averted cases). This finding suggests that the COVID Alert app, when adopted at sufficient levels, can be an effective public health tool for combatting a pandemic such as COVID-19.

摘要

目的

我们分析了加拿大 COVID Alert 应用程序在减少 COVID-19 感染和 COVID-19 病毒死亡方面的有效性。

方法

我们采取了两种独立但互补的方法。首先,我们进行了一项比较研究,以评估 COVID Alert 应用程序的采用和使用情况与其他地区部署的类似应用程序相比如何。其次,我们使用 COVID Alert 服务器的数据和一系列合理的参数值,通过结合关于通知数量、二次攻击率、预期可预防的传播比例、隔离效果以及在没有暴露通知的情况下完整传播链的预期规模的信息,估计在加拿大使用该模型可以避免的感染和死亡人数。

结果

比较分析表明,COVID Alert 应用程序在报告使用情况的应用程序中采用率最低。我们的模型表明,在 2021 年 3 月至 7 月期间,加拿大六个省份 COVID Alert 应用程序使用率最高的情况下,该应用程序的使用避免了 6284 至 10894 例感染。这一范围相当于同期加拿大记录的总感染人数的 1.6-2.9%。使用特定省份的病死率,在此期间避免了 57-101 例死亡。安大略省避免的病例和死亡人数最多,而纽芬兰和拉布拉多省避免的病例和死亡比例最高。其他地区报告的病例和死亡人数很少,而且报告不一致,因此相对影响评估没有定论。

结论

虽然全国范围内的比率较低,但广泛采用该应用程序的省份显示出高比例的避免病例和死亡的比例(上限大于避免病例的 60%)。这一发现表明,COVID Alert 应用程序在被广泛采用时,可作为对抗 COVID-19 等大流行的有效公共卫生工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2829/9263003/9c38320d1596/41997_2022_632_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2829/9263003/9c38320d1596/41997_2022_632_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2829/9263003/9c38320d1596/41997_2022_632_Fig1_HTML.jpg

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