Evidence map›Paper›PMID 42351076›Full record

ArticleBMC public health2026

Community-level COVID-19 vaccination promotion capacity and its association with vaccination dose per capita in China: an entropy-weighted TOPSIS and multilevel analysis.

Tianshuo Zhao, Tiancheng Xie, Xiyu Zhang, Qingsong Xu, Ninghua Huang, Yaqiong Liu, Fuqiang Cui

Abstract readMulticenter Study
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tianshuo Zhao *National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.
Tiancheng Xie *Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, P. R. China.
Xiyu ZhangDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, P. R. China.
Qingsong XuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, P. R. China.
Ninghua HuangDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, P. R. China.
Yaqiong LiuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, P. R. China.
Fuqiang CuiDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, P. R. China. cuifuq@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop an evaluation framework for community-level capacity to promote coronavirus disease 2019 (COVID-19) vaccination and to quantify vaccination promotion capacity across primary care communities in different regions of China. We further examined the association between promotion capacity and COVID-19 vaccination dose per capita to inform optimization of primary immunization services in the post-pandemic era.

methodsA multicenter cross-sectional study was conducted across 94 primary care communities from 10 provinces. Indicators of vaccination mobilization and service delivery from 2020 to 2022 were collected via questionnaire across four domains: health education, mass vaccination, incentives, and monitoring/reminders. External and internal covariates were collected simultaneously, including policy, ecological and socioeconomic environments. The entropy weight method and the technique for order preference by similarity to ideal solution were used to calculate a composite score index, and communities were categorized using the rank-sum ratio (RSR) method. After covariate selection via Lasso regression, multilevel mixed-effects linear regression models assessed associations between promotion capacity and dose per capita.

resultsMarked provincial differences were observed in overall vaccination promotion capacity. Provinces such as Anhui, Henan and Zhejiang had a higher proportion of high-capacity communities (25%), whereas provinces/municipalities such as Hubei, Guizhou, Shanghai, Guangxi, Shandong, Fujian and Xinjiang had a larger share of medium- and low-capacity communities. In multilevel mixed-effects linear regression models, the RSR ranking of overall vaccination promotion capacity was significantly and negatively associated with community COVID-19 vaccination dose per capita (exp[β] = 0.79, 95% CI: 0.69-0.92), indicating that communities with better (lower RSR ranking scores) capacity achieved higher dose per capita. RSR rankings of all four primary domains were negatively associated with vaccination dose per capita: health education capacity (exp[β] = 0.76, 95% CI: 0.65-0.88), mass vaccination capacity (exp[β] = 0.74, 95% CI: 0.63-0.87), vaccination incentive capacity (exp[β] = 0.77, 95% CI: 0.65-0.91), and monitoring/reminders (exp[β] = 0.93, 95% CI: 0.88-0.98). The number of policy documents issued by municipal-level authorities and studied by local staff, as well as the post-training assessment pass rate among vaccination staff, were consistently and positively associated with dose per capita in most models.

conclusionIn conclusion, the composite evaluation framework effectively captured regional differences in community vaccination promotion capacity. Higher overall capacity and better performance in all four domains were linked to higher COVID-19 vaccination dose per capita. Strengthening policy dissemination and implementation, enhancing the quality of training and assessment for vaccination staff may help build an efficient community-based vaccination promotion system, mitigate vaccine hesitancy, and increase vaccine coverage.

Indexed as

COVID-19COVID-19 VaccinesHealth PromotionImmunization ProgramsVaccinationChinaCross-Sectional StudiesHumansMultilevel AnalysisPrimary Health CareCOVID-19 VaccinesCOVID-19 vaccineMultilevel modelRank-sum ratioTechnique for order preference by similarity to ideal solutionVaccination promotion capacity

Identifiers

PMID42351076
PMCPMC13560156

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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.