Evidence map›Paper›PMID 38214317›Full record

ArticleHuman vaccines & immunotherapeutics2024

How urban versus rural population relates to COVID-19 booster vaccine hesitancy: A propensity score matching design study.

Yudong Miao, Junwen Bai, Zhanlei Shen, Yi Li, Wanliang Zhang, Dongfang Zhu, Ruizhe Ren, Jingbao Zhang, Dan Guo, Clifford Silver Tarimo and 6 more

Open access · goldAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

6 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

16 authors at 3 institutions in 2 countries.

Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Junwen BaiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Zhanlei ShenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Yi LiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Wanliang ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Dongfang ZhuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Ruizhe RenDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Jingbao ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Dan GuoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Clifford Silver TarimoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Wenyong DongDepartment of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Rongmei LiuHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Qiuping ZhaoHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jianping HuHenan Engineering technology Research Center for Health Big Data Governance, Henan Medical Communication and Project Forward Center, Zhengzhou, Henan, China.
Miaojun LiHenan Engineering technology Research Center for Health Big Data Governance, Henan Medical Communication and Project Forward Center, Zhengzhou, Henan, China.
Wei WeiDepartment of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhengzhou University · CNZhengzhou Central Hospital · CNZhengzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, the vaccine hesitancy has significantly affected the vaccination. To evaluate the booster vaccine hesitancy and its influencing factors among urban and rural residents, as well as to estimate the net difference of booster vaccine hesitancy between urban and rural residents. We conducted a nationwide, cross-sectional Internet survey on 1-8 February 2023, and employed stratified random sampling technique to select participants (≥18 years old) from urban and rural areas. Multivariate logistic regression was used to determine the factors impacting booster vaccine hesitancy. Propensity Score Matching was used to estimate the net difference of COVID-19 booster vaccine hesitancy between urban and rural residents. The overall COVID-19 booster vaccine hesitancy rate of residents was 28.43%. The COVID-19 booster vaccine hesitancy rate among urban residents was found to be 34.70%, among rural residents was 20.25%. Chronic diseases, infection status, vaccination benefits, and trust in vaccine developers were associated with booster vaccine hesitancy among urban residents. Barriers of vaccination were associated with booster vaccine hesitancy among rural residents. PSM analysis showed that the urban residents have a higher booster vaccine hesitancy rate than rural residents, with a net difference of 6.20%. The vaccine hesitancy rate increased significantly, and the urban residents have a higher COVID-19 booster vaccine hesitancy than rural residents. It becomes crucial to enhance the dissemination of information regarding the advantages of vaccination and foster greater trust among urban residents toward the healthcare system.

Indexed as

COVID-19Rural PopulationAdolescentCross-Sectional StudiesHumansPandemicsPropensity ScoreVaccinationVaccination HesitancyChinaCOVID-19 booster vaccinePSM analysisurban-rural differencesvaccine hesitancy

Identifiers

PMID38214317
PMCPMC10793673
OpenAlexW4390792587

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.