Evidence map›Paper›PMID 36062068›Full record

ArticleChina CDC weekly2022

Response and Assessment of the Effectiveness of the Countermeasures for a COVID-19 Outbreak - Guizhou Province, China, March 2022.

Jiao Huang, Liying Wang, Chun Yu, Zhaobing Liu, Guanghong Yang, Ziyao Lan, Zhongfa Tao, Kaike Ping, He Huang, Shijun Li and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jiao HuangGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Liying WangNational Institute of Parasitic Diseases, Chinese Center for Tropical Diseases Research, Chinese Center for Disease Control and Prevention; NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Center for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai Municipality, China.
Chun YuGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Zhaobing LiuGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Guanghong YangGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Ziyao LanGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Zhongfa TaoGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Kaike PingGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
He HuangGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Shijun LiGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.
Yan HuangGuizhou Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Many regions in China have recently reported outbreaks of the coronavirus disease 2019 (COVID-19) caused by the Omicron variant. What is added by this report?: Wuchuan County, Guizhou Province reacted quickly and implemented accurate intervention measures to effectively control the outbreak. The susceptible-exposed-infectious-asymptomatic-removed (SEIAR) model was applied to evaluate the effectiveness of intervention measures. What are the implications for public health practice?: Fast response measures should be taken to prevent the spread of outbreaks caused by the Omicron variant.

Indexed as

COVID-19Prevention and Control measuresSEIAR model

Identifiers

PMID36062068
PMCPMC9433763

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.