Evidence map›Paper›PMID 34921080›Full record

ArticleBMJ open2021

Transmission of COVID-19 from community to healthcare agencies and back to community: a retrospective study of data from Wuhan, China.

Mei Yang, Anshu Li, Gengchen Xie, Yanhui Pang, Xiaoqi Zhou, Qiman Jin, Juan Dai, Yaqiong Yan, Yan Guo, Xinghua Liu

Abstract read
In one paragraph

Article in BMJ open, 2021. 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

10 authors.

Mei Yang *Department of Maternal and Child Health, Wuhan University of Science and Technology, Wuhan, China.
Anshu Li *Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Gengchen Xie *Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yanhui Pang *Department of Information Center, Wuhan Center for Disease Control and Prevention, Wuhan, China.
Xiaoqi ZhouChronic Noncommunicable Diseases Control and Prevention, Wuhan Center for Disease Control and Prevention, Wuhan, China.
Qiman JinChronic Noncommunicable Diseases Control and Prevention, Wuhan Center for Disease Control and Prevention, Wuhan, China.
Juan DaiChronic Noncommunicable Diseases Control and Prevention, Wuhan Center for Disease Control and Prevention, Wuhan, China.
Yaqiong YanChronic Noncommunicable Diseases Control and Prevention, Wuhan Center for Disease Control and Prevention, Wuhan, China.
Yan GuoChronic Noncommunicable Diseases Control and Prevention, Wuhan Center for Disease Control and Prevention, Wuhan, China.
Xinghua LiuDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China liu_xinghua@hust.edu.cn.ORCID 0000-0001-8783-0573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early spatiotemporal transmission of COVID-19 remains unclear. The community to healthcare agencies and back to community (CHC) model was tested in our study to simulate the early phase of COVID-19 transmission in Wuhan, China.

methodsWe conducted a retrospective study. COVID-19 case series reported to the Municipal Notifiable Disease Report System of Wuhan from December 2019 to March 2020 from 17 communities were collected. Cases from healthcare workers (HW) and from community members (CM) were distinguished by documented occupations. Overall spatial and temporal relationships between HW and CM COVID-19 cases were visualised. The CHC model was then simulated. The turning point separating phase 1 and phase 2 was determined using a quadratic model. For phases 1 and 2, linear regression was used to quantify the relationship between HW and CM COVID-19 cases.

resultsThe spatial and temporal distributions of COVID-19 cases between HWs and CMs were closely correlated. The turning point was 36.85±18.37 (range 15-70). The linear model fitted well for phase 1 (mean R

conclusionTransmission of COVID-19 from the community to healthcare agencies and back to the community was confirmed in Wuhan. Prevention and control measures for COVID-19 in hospitals and among HWs are crucial and warrant further attention.

Indexed as

COVID-19ChinaDelivery of Health CareHumansRetrospective StudiesSARS-CoV-2COVID-19epidemiologyinfection control

Identifiers

PMID34921080
PMCPMC8688731

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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.