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Progress and inequality in child immunization in 38 African countries, 2000–2030: A spatio-temporal Bayesian analysis at national and sub-national levels

Author

Listed:
  • Phuong The Nguyen
  • Ryota Nakamura
  • Hideyasu Shimadzu
  • Aminu Kende Abubakar
  • Phuong Mai Le
  • Huy Van Nguyen
  • Hoa L Nguyen
  • Motohiro Sato
  • Ayako Honda
  • Stuart Gilmour

Abstract

Background: Monitoring progress and inequality in childhood immunization coverage at both national and sub-national levels is essential for refining equity-oriented health programs and ensuring equitable access to care towards achieving global targets in African countries. Methods and Findings: Using approximately 1 million records from 104 nationally representative Demographic and Health Surveys (DHS) conducted in 38 African countries (2000–2019), we estimated childhood immunization coverage for key indicators (BCG, MCV1, DPT3, Polio3, and Full immunization), stratified by socioeconomic status. Variations of Bayesian spatio-temporal analysis using Besag, Besag–York–Mollié (BYM) and BYM2 models were employed to assess and project the trends from 2000 to 2030. We evaluated the probability of achieving Universal Health Coverage (80% coverage) and Immunization Agenda (90% coverage) by 2030, at national and sub-national levels. Finally, we conducted a comprehensive inequality analysis using the Slope Index of Inequality (SII) and Relative Index of Inequality (RII) to assess changes over the study period. Conclusions: This study highlights both progress and persistent challenges in childhood immunization coverage, along with inequalities across 38 African countries. Persistent regional disparities and socioeconomic inequalities require multifaceted strategies that account for demographic, geographic, economic, and political factors to ensure equitable immunization. Greater efforts are needed to close these gaps and support global health goals for the African nations. Why was this study done?: What did the researchers do and find?: What do these findings mean?: In this spatio-temporal Bayesian analysis, Nguyen and colleagues use data from Demographic and Health Surveys, to provide estimations for childhood immunization trends for 38 African countries between 2000 and 2030. They found that immunization coverage has improved in many settings, but substantial gaps persist within and between countries.

Suggested Citation

  • Phuong The Nguyen & Ryota Nakamura & Hideyasu Shimadzu & Aminu Kende Abubakar & Phuong Mai Le & Huy Van Nguyen & Hoa L Nguyen & Motohiro Sato & Ayako Honda & Stuart Gilmour, 2025. "Progress and inequality in child immunization in 38 African countries, 2000–2030: A spatio-temporal Bayesian analysis at national and sub-national levels," PLOS Medicine, Public Library of Science, vol. 22(7), pages 1-21, July.
  • Handle: RePEc:plo:pmed00:1004664
    DOI: 10.1371/journal.pmed.1004664
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