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ORIGINAL RESEARCH article
Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1428267
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Objectives: As the first socio-demographic profiling of HPV vaccinees in Chinese cities, this study assesses equity implications through compositional analysis of covered populations, with multilevel examination of vaccine-type s election determinants.Method: Utilizing HPV vaccination data obtained from the Jinnan Center for Disease Control and Prevention (CDC) spanning from 2018 to 2023, we conducted a retrospective analysis. Hierarchical logistic regression was employ ed to model the joint effects of age, ethnicity, occupation, and urban-rural resi dence on vaccination behaviors. Vaccine type preference was categorized as bi valent, quadrivalent, or nonavalent.Result:Three key disparities were revealed in the analysis.Age-stratified a ccess revealed the highest proportion of recipients among women aged 33-38 years (29.6%) and 39-44 years (21.9%), contrasting with less than 1% particip ation in the 9-14 year-old cohort. Educationally, 87.3% held at least a bachelo r's degree, compared to 12.7% with below-college education (χ² = 6048.89, p < 0.001).Clear urban-rural divide, with 99.7% of recipients in urban areas a nd just 0.3% in rural areas (χ² = 76.79, p < 0.001).Vaccine-type selection s howed socioeconomic patterns, with nonavalent vaccines preferred by urban pr ofessionals (OR = 1.577, 95% CI: 1.16-2.142) and those with incomes above 5000 yuan (OR = 1.958, 95% CI: 0.26-3.527).: Demonstrating Hart's Inverse Care Law, Tianjin's program di sproportionately immunizes socioeconomically secure urbanites. We propose: 1) school-based mandates for pre-sexual debut cohorts; 2) rural vaccination-socia l insurance integration; 3) domestic 9-valent vaccine development with needs-b 3 ased subsidies. These evidence-based reforms are critical for achieving equitab le 90% coverage by 2030.
Keywords: HPV vaccines, Vaccine equity, socio-economic status, Multivariabl e logistic regression, Urban-rural disparities
Received: 10 May 2024; Accepted: 17 Feb 2025.
Copyright: © 2025 Xiang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xuan Sun, Zhou Enlai School of Government, Nankai University, Tianjin, China
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