Suppr超能文献

中国上海 COVID-19 疫情与公共卫生干预措施:传播、关联和转化的统计分析。

COVID-19 epidemic and public health interventions in Shanghai, China: Statistical analysis of transmission, correlation and conversion.

机构信息

Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.

Department of Health Education, College of Preventive Medicine, Army Medical University, Chongqing, China.

出版信息

Front Public Health. 2023 Jan 10;10:1076248. doi: 10.3389/fpubh.2022.1076248. eCollection 2022.

Abstract

BACKGROUND

The Shanghai COVID-19 epidemic is an important example of a local outbreak and of the implementation of normalized prevention and disease control strategies. The precise impact of public health interventions on epidemic prevention and control is unknown.

METHODS

We collected information on COVID-19 patients reported in Shanghai, China, from January 30 to May 31, 2022. These newly added cases were classified as local confirmed cases, local asymptomatic infections, imported confirmed cases and imported asymptomatic infections. We used polynomial fitting correlation analysis and illustrated the time lag plot in the correlation analysis of local and imported cases. Analyzing the conversion of asymptomatic infections to confirmed cases, we proposed a new measure of the conversion rate ( ). In the evolution of epidemic transmission and the analysis of intervention effects, we calculated the effective reproduction number ( ). Additionally, we used simulated predictions of public health interventions in transmission, correlation, and conversion analyses.

RESULTS

(1) The overall level of in the first three stages was higher than the epidemic threshold. After the implementation of public health intervention measures in the third stage, decreased rapidly, and the overall level in the last three stages was lower than the epidemic threshold. The longer the public health interventions were delayed, the more cases that were expected and the later the epidemic was expected to end. (2) In the correlation analysis, the outbreak in Shanghai was characterized by double peaks. (3) In the conversion analysis, when the incubation period was short (3 or 7 days), the conversion rate fluctuated smoothly and did not reflect the effect of the intervention. When the incubation period was extended (10 and 14 days), the conversion rate fluctuated in each period, being higher in the first five stages and lower in the sixth stage.

CONCLUSION

Effective public health interventions helped slow the spread of COVID-19 in Shanghai, shorten the outbreak duration, and protect the healthcare system from stress. Our research can serve as a positive guideline for addressing infectious disease prevention and control in China and other countries and regions.

摘要

背景

上海 COVID-19 疫情是局部暴发和常态化防控策略实施的重要范例。公共卫生干预措施对疫情防控的精确影响尚不清楚。

方法

我们收集了 2022 年 1 月 30 日至 5 月 31 日期间在中国上海报告的 COVID-19 患者的信息。这些新增加的病例被归类为本地确诊病例、本地无症状感染、输入性确诊病例和输入性无症状感染。我们使用多项式拟合相关性分析,并在本地和输入病例的相关性分析中展示了时间滞后图。通过分析无症状感染者向确诊病例的转化率,我们提出了一个新的转化率度量( )。在疫情传播的演变和干预效果分析中,我们计算了有效繁殖数( )。此外,我们在传播、相关性和转化率分析中使用了模拟预测公共卫生干预措施。

结果

(1)前三个阶段的总体 水平均高于疫情阈值。在第三阶段实施公共卫生干预措施后, 迅速下降,后三个阶段的总体 水平均低于疫情阈值。公共卫生干预措施延迟的时间越长,预期的病例数就越多,疫情结束的时间就越晚。(2)在相关性分析中,上海的疫情表现出双峰特征。(3)在转化率分析中,当潜伏期较短(3 天或 7 天)时,转化率平稳波动,未反映出干预效果。当潜伏期延长(10 天和 14 天)时,转化率在每个阶段波动,前五个阶段较高,第六个阶段较低。

结论

有效的公共卫生干预有助于减缓 COVID-19 在上海的传播,缩短疫情持续时间,并保护医疗体系免受压力。我们的研究可以为中国和其他国家和地区的传染病防控提供积极的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5473/9871588/2d73dcd37474/fpubh-10-1076248-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验