Evidence map›Paper›PMID 37112651›Full record

ArticleVaccines2023

COVID-19 Vaccination Coverage among 42,565 Adults Amid the Spread of Omicron Variant in Beijing, China.

Chenyuan Qin, Min Du, Yaping Wang, Mingyue Li, Hao Wu, Shugang Li, Jue Liu

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
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

7 authors at 2 institutions in 1 country.

Chenyuan QinSchool of Public Health, Peking University, Xueyuan Road No. 38, Haidian District, Beijing 100191, China.ORCID 0000-0001-9668-9778
Min DuSchool of Public Health, Peking University, Xueyuan Road No. 38, Haidian District, Beijing 100191, China.
Yaping WangSchool of Public Health, Peking University, Xueyuan Road No. 38, Haidian District, Beijing 100191, China.ORCID 0000-0003-2586-5599
Mingyue LiSchool of General Practice and Continuing Education, Capital Medical University, Xitoutiao Youanmenwai No. 10, Fengtai District, Beijing 100069, China.
Hao WuSchool of General Practice and Continuing Education, Capital Medical University, Xitoutiao Youanmenwai No. 10, Fengtai District, Beijing 100069, China.
Shugang LiSchool of Public Health, Capital Medical University, Xitoutiao Youanmenwai No. 10, Fengtai District, Beijing 100069, China.
Jue LiuSchool of Public Health, Peking University, Xueyuan Road No. 38, Haidian District, Beijing 100191, China.ORCID 0000-0002-1938-9365
Peking University · CNCapital Medical University · CN

Funding

Beijing High-Level Public Health Technical Personnel Training Program 2022-1-005Beijing Natural Science Foundation-Haidian Original Innovation Joint Foundation L222027National Natural Science Foundation of China 72211540398
6 · The paper itself

Abstract

Vaccines against coronavirus disease 2019 (COVID-19) have been in use for over two years, but studies that reflect real-world vaccination coverage and demographic determinants are lacking. Using a multistage stratified random cluster sampling method, we planned to directly explore vaccination coverage and the demographic determinants of different doses of COVID-19 vaccines in Beijing, especially in older populations. All 348 community health service centers in 16 districts were involved. We performed multivariable logistic regression analyses to identify demographic determinants of different coverage rates via adjusted odds ratios (aORs) and 95% CIs. Of the 42,565 eligible participants, the total vaccination coverage rates for ≥1 dose, ≥2 doses, ≥3 doses, and 4 doses were 93.3%, 91.6%, 84.9%, and 13.0%, respectively, but decreased to 88.1%, 85.1%, 76.2%, and 3.8% in the older population. Among all participants, younger (aOR = 1.77, 95% CI: 1.60-1.95), male (aOR = 1.15, 95% CI: 1.06-1.23), and better-educated residents (high school and technical secondary school aOR = 1.58, 95% CI: 1.43-1.74; bachelor's degree aOR = 1.53, 95% CI: 1.37-1.70) were more likely to be fully vaccinated. People who lived in rural areas (aOR = 1.45, 95% CI: 1.31-1.60) and held the new rural cooperative health insurance (aOR = 1.37, 95% CI: 1.20-1.57) established a higher rate of full vaccination coverage. No history of chronic disease was positively associated with a higher coverage rate (aOR = 1.81, 95% CI: 1.66-1.97). Occupation also affected vaccination coverage. Demographic factors influencing the rate of vaccination with at least one or three doses were consistent with the results above. Results remained robust in a sensitivity analysis. Given the highly transmissible variants and declining antibody titers, accelerating the promotion of booster vaccination coverage, especially in high-risk groups such as the elderly, is a top priority. For all vaccine-preventable diseases, rapidly clarifying vaccine-hesitant populations, clearing barriers, and establishing a better immune barrier can effectively safeguard people's lives and property and coordinate economic development with epidemic prevention and control.

Indexed as

ChinaCOVID-19sociodemographic determinantsvaccination

Identifiers

PMID37112651
PMCPMC10146383
OpenAlexW4361005606

What OpenQuestion holds

Textmetadata
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.