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COVID-19 epidemic and public health interventions in Shanghai, China: Statistical analysis of transmission, correlation and conversion.
Yi, Dali; Chen, Xicheng; Wang, Haojia; Song, Qiuyue; Zhang, Ling; Li, Pengpeng; Ye, Wei; Chen, Jia; Li, Fang; Yi, Dong; Wu, Yazhou.
  • Yi D; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Chen X; Department of Health Education, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Wang H; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Song Q; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Zhang L; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Li P; Department of Health Education, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Ye W; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Chen J; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Li F; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Yi D; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
  • Wu Y; Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Front Public Health ; 10: 1076248, 2022.
Article in English | MEDLINE | ID: covidwho-2237304
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 (C r ). In the evolution of epidemic transmission and the analysis of intervention effects, we calculated the effective reproduction number (R t ). Additionally, we used simulated predictions of public health interventions in transmission, correlation, and conversion analyses.

Results:

(1) The overall level of R t in the first three stages was higher than the epidemic threshold. After the implementation of public health intervention measures in the third stage, R t decreased rapidly, and the overall R t 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Health Practice / Epidemics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.1076248

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Health Practice / Epidemics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.1076248