Evidence map›Paper›PMID 35049185›Full record

ArticleMedicine2021

Transmission dynamics and successful control measures of SARS-CoV-2 in the mega-size city of Guangzhou, China.

Hongjun Zhao, Zhoubin Zhang, Wenhui Lun, Zongqiu Chen, Xiaoxiao Lu, Jingrong Li, Fuman Qiu, Shunming Li, Chun Mao, Ying Lu and 4 more

Abstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

14 authors.

Hongjun ZhaoState Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute for Public Health, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou, PR China.
Zhoubin ZhangGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.
Wenhui LunState Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute for Public Health, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou, PR China.
Zongqiu ChenGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.
Xiaoxiao LuDepartment of English and American Studies, Faculty of Languages and Literatures, Ludwig Maximilian University (LMU), Munich, Germany.
Jingrong LiGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.
Fuman QiuState Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute for Public Health, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou, PR China.
Shunming LiGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.
Chun MaoState Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute for Public Health, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou, PR China.
Ying LuGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.
Jinbin ChenState Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute for Public Health, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou, PR China.
Qing HeGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.
Jiachun LuState Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute for Public Health, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou, PR China.ORCID 0000-0002-6189-826
Zhicong YangGuangzhou Centre for Disease Control and Prevention, Guangzhou, PR China.

Funding

national natural science foundation of china 81872694, 81673267 and 82173609pearl river s and t nova program of guangzhou 2017BT01S155
6 · The paper itself

Abstract

abstractThe severe acute respiratory syndrome coronavirus 2 has caused a worldwide pandemic. Control measures differ among countries and have a varying degree of effectiveness, which requires assessment. To evaluate the effectiveness of public health interventions of the coronavirus disease 2019 (COVID-19) in Guangzhou by 3 periods according to interventions: January 7 to 22 (no intervention), January 23 to February 23 (implemented intensive interventions), and February 24 to May 17 (the normalization mode of COVID-19 prevention and control).We collected the information of 745 COVID-19 patients and their close contacts as well as control measures in Guangzhou from January 7 to May 17, 2020. We estimated the epidemiological characteristics, disease spectrum of COVID-19 cases, key time-to-event intervals, and effective reproduction number over the 3 periods. The basic reproduction number of severe acute respiratory syndrome coronavirus 2 was also calculated over period 1.Approximately 45.8%, 49.8%, and 4.4% of cases from close contacts were asymptomatic, symptomatic, and severe, respectively. The median incubation period was 5.3 days (the percentiles of 2.5-97.5, 1.5-18.4 days) and the median serial interval fitted with gamma distribution was 5.1 days (the percentiles of 2.5-97.5, 0.8-15.9 days). The estimated median of onset-to-quarantined time in Period 1 to 3 were 7.5, 3.4, and 2.9 days (the percentiles of 2.5-97.5, 2.1-14.2, 3.9-14.7, and 6.0-20.0 days) respectively and the median of onset-to-confirmation time in period 1 to 3 were 8.9, 4.9 and 2.4 days (the percentiles of 2.5-97.5, 2.6-16.6, 0.9-14.6, and 0.5-11.8 days). In period 1, the reproduction number was 0.9 (95% confidence interval, 0.5-1.4) and fluctuated below 1.0 before January 22 except for January 14. The effective reproduction number gradually decreased in the period 2 with the lowest point of 0.1 on February 20, then increased again since March 27 and reach a spike of 1.8 on April 12. The number decreased to below 1.0 after April 17 and decreased further to <0.2 after May 7 in the period 3.Under prospective dynamic observation, close contacts turned into infected cases could provide a spectrum of COVID-19 cases from real-world settings. The lockdown of Wuhan and closed-loop management of people arriving Guangzhou were effective in halting the spread of the COVID-19 cases to Guangzhou. The spread of COVID-19 was successfully controlled in Guangzhou by social distancing, wearing a face mask, handwashing, disinfection in key places, mass testing, extensive contact tracing, and strict quarantine of close contacts.

Indexed as

Communicable Disease ControlCOVID-19SARS-CoV-2AdultAgedAged, 80 and overChinaDisease OutbreaksHumansMiddle AgedProspective StudiesPublic HealthYoung Adult

Identifiers

PMID35049185
PMCPMC9191374

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.