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南非 COVID-19 疫情趋势:奥密克戎(B.1.1.529)、德尔塔(B.1.617.2)和贝塔(B.1.351)变异株流行期的比较。

COVID-19 outbreak trends in South Africa: A comparison of Omicron (B.1.1.529), Delta (B.1.617.2), and Beta (B.1.351) variants outbreak periods.

机构信息

Clinical Research Support Center, Kagawa University Hospital, Kagawa, Japan.

Department of Medical Informatics, Kagawa University Hospital, Kagawa, Japan; Department of Food Processing and Nutrition, Karnataka State Akkamahadevi Women's University, Vijayapura, Karnataka, India.

出版信息

J Infect Public Health. 2022 Jul;15(7):726-733. doi: 10.1016/j.jiph.2022.05.011. Epub 2022 May 24.

Abstract

OBJECTIVES

We provided COVID-19 outbreak trends in South Africa during the Omicron (B.1.1.529), Delta (B.1.617.2), and Beta (B.1.351) variants outbreak periods from November 2020 to March 2022.

METHODS

We used the time series summary data of the COVID-19 outbreak for South Africa available in the COVID-19 data repository created by the Center for System and Science and Engineering at Johns Hopkins University and the Our World in Data database by the University of Oxford from January 2020 to March 2022. We used the joinpoint regression model with a data-driven Bayesian information criterion method for analyzing the outbreak trends. In addition, we used density ellipses and partition modeling on the outbreak data.

RESULTS

During the Omicron outbreak period, COVID-19 cases in South Africa significantly jumped by 4.7 times from December 01 to December 08, 2021. The average daily growth rate of incidence peaked at 23,000 cases/day until December 16, 2021, which was 18.6 % higher than the peak growth during the Delta outbreak period. South Africa experienced peak growth in COVID-19 cases with 18,611 cases/day (January 04 to January 14, 2021) during the Beta outbreak period and with 19,395 cases/day (July 01 to July 11, 2021) during the Delta outbreak period. Density ellipsoid showed a significant correlation between daily cases and daily death count during the Beta and Delta outbreak period which was not prominent in the Omicron outbreak period. Comparatively higher daily death tolls were reported in days with a recovery rate of less than 89.1 % and 91.9 % in the Beta and Delta outbreak period respectively. The backlog counts may be one of the reasons for the significant increase in daily death tolls during the Omicron period.

CONCLUSIONS

During the Omicron period, COVID-19 cases peaked growth was 18.6 % higher than the peak growth during the Delta outbreak period. Despite that fact, growth in death trends in the Omicron outbreak period was found low which might be due to the low mortality rate and case fatality proportion. The emergence of the Omicron variant once again reminds us that- "no one is safe until everyone is safe".

摘要

目的

我们提供了 2020 年 11 月至 2022 年 3 月期间南非在奥密克戎(B.1.1.529)、德尔塔(B.1.617.2)和贝塔(B.1.351)变体爆发期间的 COVID-19 爆发趋势。

方法

我们使用了约翰霍普金斯大学系统与科学工程中心创建的 COVID-19 数据存储库中南非 COVID-19 爆发的时间序列汇总数据,以及牛津大学的 Our World in Data 数据库,时间范围为 2020 年 1 月至 2022 年 3 月。我们使用了具有数据驱动贝叶斯信息准则方法的连接点回归模型来分析爆发趋势。此外,我们还对爆发数据使用了密度椭圆和分区建模。

结果

在奥密克戎爆发期间,南非的 COVID-19 病例在 2021 年 12 月 1 日至 12 月 8 日期间显著增加了 4.7 倍。发病率的日平均增长率在 2021 年 12 月 16 日之前达到 23,000 例/天的峰值,比德尔塔爆发期间的峰值增长率高 18.6%。南非在贝塔爆发期间的 COVID-19 病例达到峰值,为每天 18611 例(2021 年 1 月 4 日至 1 月 14 日),在德尔塔爆发期间为每天 19395 例(2021 年 7 月 1 日至 7 月 11 日)。密度椭圆显示,贝塔和德尔塔爆发期间,每日病例数与每日死亡数之间存在显著相关性,而奥密克戎爆发期间这种相关性并不明显。在贝塔和德尔塔爆发期间,恢复率低于 89.1%和 91.9%的天数报告了较高的每日死亡人数。积压病例数可能是奥密克戎期间每日死亡人数显著增加的原因之一。

结论

在奥密克戎期间,COVID-19 病例的峰值增长率比德尔塔爆发期间的峰值增长率高 18.6%。尽管如此,奥密克戎爆发期间的死亡趋势增长较低,这可能是由于死亡率和病死率较低。奥密克戎变体的出现再次提醒我们——“没有人是安全的,除非每个人都是安全的”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9028/9128297/48156dd84175/gr1_lrg.jpg

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