Data on COVID-19 Published by Researchers at Peking University (Socioeconomic Disparities in Childhood Vaccination Coverage in the United States: Evidence from a Post-COVID-19 Birth Cohort): Coronavirus – COVID-19

2026 JAN 07 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Daily -- Data detailed on COVID-19 have been presented. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Childhood immunization is one of the most effective public health strategies for reducing morbidity and mortality from vaccine-preventable diseases. Although overall vaccination coverage in the United States remains high, disparities persist across socioeconomic and healthcare access groups.”

Funders for this research include The National Social Science Fund of China.

The news editors obtained a quote from the research from Peking University: “Understanding these disparities is particularly important in the post-COVID-19 era, when increased vaccine hesitancy may threaten progress in maintaining equitable coverage. We analyzed data from the National Immunization Survey-Child (NIS-Child), focusing on U.S. children aged 19-35 months in 2023, corresponding to cohorts reaching this age during or after the COVID-19 pandemic. The primary outcome was receipt of the up-to-date combined 7-vaccine series (4:3:1:3:3:1:3: 4 doses of DTaP, 3 doses of polio, 1 dose of measles-containing vaccine, full Hib series, 3 doses of hepatitis B, 1 dose of varicella, and 3 doses of PCV). Logistic regression models were used to estimate associations between vaccination coverage and key explanatory variables: household income-to-poverty ratio, maternal education, health insurance type, and provider facility type, controlling for demographic and regional covariates. Disparities were quantified using concentration indices (CIs). Among children in the analytic sample, overall coverage for the 7-vaccine series was only 78.5%. Nonetheless, disparities were evident. Children from households with lower income-to-poverty ratios (<1 x FPL: OR = 0.44, 95% CI = 0.37-0.53; 100-200%: OR = 0.66, 95% CI = 0.56-0.79), those covered by Medicaid (OR = 0.54, 95% CI = 0.45-0.64), other insurance (OR = 0.48, 95% CI = 0.37-0.61), or uninsured (OR = 0.27, 95% CI = 0.18-0.42), and those whose mothers had lower educational attainment (<12 years: OR = 0.35, 95% CI = 0.28-0.44) had significantly lower odds of being up-to-date. Similar associations were observed across specific vaccines. Unadjusted CIs for income-to-poverty ratio (0.04, * * p* * < 0.01), maternal education (0.04, * * p* * < 0.01), health insurance (0.03, * * p* * < 0.01), and provider type (0.03, * * p* * < 0.01) decreased but remained statistically significant after adjustment (0.02, 0.02, 0.01, and 0.02, respectively; all * * p* * < 0.01). No significant disparities were found by census region or race/ethnicity.”

According to the news editors, the research concluded: “Despite relatively high overall vaccination coverage among U.S. children born during and after the COVID-19 pandemic, disparities by socioeconomic and healthcare access factors persisted. However, the absolute magnitude of these disparities was very small (concentration indices 0.04). These findings suggest that while inequities remain statistically measurable, their scale is limited in absolute terms. Targeted efforts to address income, insurance, maternal education, and provider-related barriers will be important to sustain equitable immunization coverage in the post-pandemic era.”

For more information on this research see: Socioeconomic Disparities in Childhood Vaccination Coverage in the United States: Evidence from a Post-COVID-19 Birth Cohort. Vaccines, 2025,13(12):1256. (Vaccines - http://www.mdpi.com/journal/vaccines). The publisher for Vaccines is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/vaccines13121256.

Our news journalists report that additional information may be obtained by contacting Xiaoyang Lv, School of Public Health, Peking University, Beijing 100191, People’s Republic of China. Additional authors for this research include Antong Long, Yansheng Chen, Hai Fang.

(Our reports deliver fact-based news of research and discoveries from around the world.)