Evidence map›Paper›PMID 33400682›Full record

ArticleJournal of medical Internet research2021

Unfolding the Determinants of COVID-19 Vaccine Acceptance in China.

Fulian Yin, Zhaoliang Wu, Xinyu Xia, Meiqi Ji, Yanyan Wang, Zhiwen Hu

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
12.5field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 117 citations in OpenAlex.

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  19. Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
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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 2 institutions in 1 country.

Fulian YinCommunication University of China, Beijing, China.ORCID 0000-0002-9981-0331
Zhaoliang WuCommunication University of China, Beijing, China.ORCID 0000-0002-9821-4642
Xinyu XiaCommunication University of China, Beijing, China.ORCID 0000-0001-7896-1993
Meiqi JiCommunication University of China, Beijing, China.ORCID 0000-0003-2200-0653
Yanyan WangCommunication University of China, Beijing, China.ORCID 0000-0003-0719-5536
Zhiwen HuZhejiang Gongshang University, Hangzhou, China.ORCID 0000-0002-0382-7770
Communication University of China · CNZhejiang Gongshang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina is at the forefront of global efforts to develop COVID-19 vaccines and has five fast-tracked candidates at the final-stage, large-scale human clinical trials testing phase. Vaccine-promoting policymaking for public engagement is a prerequisite for social mobilization. However, making an informed and judicious choice is a dilemma for the Chinese government in the vaccine promotion context.

objectiveIn this study, public opinions in China were analyzed via dialogues on Chinese social media, based on which Chinese netizens' views on COVID-19 vaccines and vaccination were investigated. We also aimed to develop strategies for promoting vaccination programs in China based on an in-depth understanding of the challenges in risk communication and social mobilization.

methodsWe proposed a novel behavioral dynamics model, SRS/I (susceptible-reading-susceptible/immune), to analyze opinion transmission paradigms on Chinese social media. Coupled with a meta-analysis and natural language processing techniques, the emotion polarity of individual opinions was examined in their given context.

resultsWe collected more than 1.75 million Weibo messages about COVID-19 vaccines from January to October 2020. According to the public opinion reproduction ratio (R

conclusionsMost Chinese netizens believe that the vaccine is less expensive than previously thought, while some claim they cannot afford it for their entire family. The findings demonstrate that Chinese individuals are inclined to be positive about side effects over time and are proud of China's involvement with vaccine development. Nevertheless, they have a collective misunderstanding about inactivated vaccines, insisting that inactivated vaccines are safer than other vaccines. Reflecting on netizens' collective responses, the unfolding determinants of COVID-19 vaccine acceptance provide illuminating benchmarks for vaccine-promoting policies.

Indexed as

ChinaCOVID-19COVID-19 VaccinesHumansPandemicsSARS-CoV-2Social MediaVaccinationCOVID-19 VaccinesacceptanceaffordabilityChinacommunicationCOVID-19COVID-19 vaccinationCOVID-19 vaccinesefficacyevidence communicationopinionpromotionriskrisk communicationsocial mediastrategyvaccine

Identifiers

PMID33400682
PMCPMC7813210
OpenAlexW3117177153

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.