Evidence map›Paper›PMID 36703835›Full record

ArticleFrontiers in public health2022

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

Dali Yi, Xicheng Chen, Haojia Wang, Qiuyue Song, Ling Zhang, Pengpeng Li, Wei Ye, Jia Chen, Fang Li, Dong Yi and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dali YiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Xicheng ChenDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Haojia WangDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Qiuyue SongDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Ling ZhangDepartment of Health Education, College of Preventive Medicine, Army Medical University, Chongqing, China.
Pengpeng LiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Wei YeDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Jia ChenDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Fang LiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Dong YiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Yazhou WuDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( Results: (1) The overall level of 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.

Indexed as

COVID-19EpidemicsPublic Health PracticeAsymptomatic InfectionsChinaHumansCOVID-19dynamic prevention and controleffective regeneration numberinterventionspublic health

Identifiers

PMID36703835
PMCPMC9871588

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.