Evidence map›Paper›PMID 34982646›Full record

ArticleHuman vaccines & immunotherapeutics2021

The influence of social network on COVID-19 vaccine hesitancy among healthcare workers: a cross-sectional survey in Chongqing, China.

Binyue Xu, Yi Zhang, Lei Chen, Linling Yu, Lanxin Li, Qing Wang

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 15% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Binyue XuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Sichuan, China.ORCID 0000-0003-2468-063X
Yi ZhangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Lei ChenEPI Department, Yuzhong Distinct Center for Disease Control and Prevention, Chongqing, China.
Linling YuEPI Department, Yubei Distinct Center for Disease Control and Prevention, Chongqing, China.
Lanxin LiEPI Department, Shapingba Distinct Center for Disease Control and Prevention, Chongqing, China.
Qing WangEPI Department, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China.
Chinese Center For Disease Control and Prevention · CNTaiwan Centers for Disease Control · TWSichuan University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The factors that lead to coronavirus disease 2019 (COVID-19) vaccine hesitancy among health-care workers (HCWs) are unclear. We aimed to identify the factors that influence HCWs' hesitancy, especially the influence of their social network. Using an online platform, we surveyed HCWs in Chongqing, China, in January 2021 to understand the factors that influence the COVID-19 vaccine hesitancy among HCWs. Proportional allocation stratified sampling method was used to recruit respondents. Multivariable logistic regression and social network analysis (SNA) were used to analyze the influence factors. A total of 5247 HCWs were included and 23.3% of them were vaccine-hesitant. Participants were more hesitant if they had chronic diseases (

Indexed as

COVID-19COVID-19 VaccinesChinaCross-Sectional StudiesHealth PersonnelHumansSARS-CoV-2Social NetworkingVaccination HesitancyCOVID-19 VaccinescoronavirusCOVID-19healthcare worker (HCW)social network analysis (SNA)vaccinevaccine hesitancy

Identifiers

PMID34982646
PMCPMC8903998
OpenAlexW4205289039

What OpenQuestion holds

Textmetadata
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.