Evidence map›Paper›PMID 35848516›Full record

ArticleJournal of medical virology2022

Change in willingness to COVID-19 vaccination in China: Two online surveys during the pandemic.

Ninghua Huang, Chao Wang, Bingfeng Han, Tianshuo Zhao, Bei Liu, Linyi Chen, Mingzhu Xie, Hui Zheng, Sihui Zhang, Yu Wang and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 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

14 authors at 1 institution in 1 country.

Ninghua HuangDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
Chao WangVaccine Research Center, School of Public Health, Peking University, Beijing, China.
Bingfeng HanDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
Tianshuo ZhaoDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
Bei LiuGlobal Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China.
Linyi ChenDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
Mingzhu XieGlobal Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China.
Hui ZhengDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
Sihui ZhangVaccine Research Center, School of Public Health, Peking University, Beijing, China.
Yu WangVaccine Research Center, School of Public Health, Peking University, Beijing, China.
Du JuanGlobal Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China.
YaQiong LiuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
QingBin LuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-2804-0827
Fuqiang CuiDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs the variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to emerge, periodic vaccine booster immunization may become a normal policy. This study investigated the changes and factors associated with vaccination intentions in various epidemic situations, which can provide suggestions for the construction and modification of routine vaccination program strategies.

methodsTwo cross-sectional online surveys were conducted in January and June of 2021. The willingness and confidence of the coronavirus disease 2019 (COVID-19) vaccination were measured following propensity score matching (PSM) treatment. The difference in the willingness for COVID-19 Vaccination in the two surveys was analyzed by single or multi-factor analyses.

resultsThe willingness to accept the SARS-CoV-2 vaccine was higher in the second survey than that in the first survey (90.5% vs. 66.6%, p < 0.001). Concerns about the vaccine's safety declined (71.0% vs. 47.6%, p < 0.001), but concerns about the efficacy increased (22.4% vs. 30.9%, p < 0.001). Confidence in the SARS-CoV-2 vaccine had an important impact on the increased uptake willingness (odds ratio = 3.19, 95% confidence interval: 2.23-4.58, p < 0.001).

conclusionsThere has been a significant increase in attitudes towards the SARS-CoV-2 vaccine which was associated with higher vaccine confidence. Vaccine effectiveness received more concerns from respondents rather than safety after nearly 6 months' utilization of the SARS-CoV-2 vaccine. It indicates that aggressive communication and timely disclosure of vaccine data can build vaccine confidence.

Indexed as

COVID-19PandemicsChinaCOVID-19 VaccinesCross-Sectional StudiesHumansSARS-CoV-2Surveys and QuestionnairesVaccinationCOVID-19 Vaccinespropensity score matchingSARS-CoV-2 vaccinevaccine acceptancevaccine confidencevaccine willingness

Identifiers

PMID35848516
PMCPMC9349959
OpenAlexW4285730785

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.