Evidence map›Paper›PMID 38299510›Full record

ArticleHuman vaccines & immunotherapeutics2024

Changes of influenza vaccination rate and associated influencing factors after the COVID-19 pandemic in Shanghai, China.

Geyang Sun, Li Zhang, Ye Qiu, Yilin Jia, Yuanping Wang, Hongmei Xu, Anran Zhang, Lipeng Hao, Weiping Zhu, Chuchu Ye

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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
10.1field-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

30 citing papers in PubMed, 26 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

10 authors at 1 institution in 2 countries.

Geyang SunAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.ORCID 0009-0005-4379-7237
Li ZhangAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.ORCID 0009-0008-5929-1881
Ye QiuAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yilin JiaAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yuanping WangAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.ORCID 0000-0002-0659-9208
Hongmei XuAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Anran ZhangAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Lipeng HaoAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Weiping ZhuAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Chuchu YeAcute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.ORCID 0000-0003-4461-4111
Taiwan Centers for Disease Control · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vaccination rate for seasonal influenza remains low in most regions of China. It is essential to understand the factors that associated with the low influenza vaccination rate in various populations after the COVID-19 pandemic. A cross-sectional survey was conducted with residents in Pudong New Area, Shanghai, China. Respondents' vaccination condition during the 2021-2022 flu season and the reasons for receiving or not receiving influenza vaccine were investigated. Binary logistic regression was conducted to explore potential factors influencing vaccination uptake. 2,476 of 14,001 respondents received an influenza vaccine, with a total coverage of 17.68% (95% CI: 17.05%, 18.32%). Children had the highest vaccination coverage (35.68%; 95% CI: 34.02, 37.33), followed by adults (12.75%; 95% CI: 11.91%, 13.58%) and elderly individuals (11.70%, 95% CI: 10.78%, 12.62%). For children, lower household income was an significant promoting factor. For adults, factors significantly associated with vaccination were household income, sex, and education level. For elderly, factors significantly associated with vaccination were household income, education level, living state, and having underlying diseases. (

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesAdultAgedChildChinaCross-Sectional StudiesHumansPandemicsVaccinationInfluenza VaccineschildrencoverageCOVID-19elder peopleInfluenza vaccination

Identifiers

PMID38299510
PMCPMC10841022
OpenAlexW4391437026

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.