Regional, subregional and country-level full vaccination coverage in children aged 12–23 months for 34 countries in sub-Saharan Africa: a global analysis using Demographic and Health Survey data
Bibliographic record
Abstract
OBJECTIVE: This study estimated the proportion of children aged 12-23 months who were fully vaccinated in sub-Saharan Africa (SSA), explored geographical disparities across subregions and countries, and identified country-level factors associated with full vaccination (FV). DESIGN: Cross-sectional study. SETTING: SSA. PARTICIPANTS: Children aged 12-23 months. PRIMARY OUTCOME: FV. METHODS: Data for this study were extracted from the most recent Demographic and Health Survey (DHS) conducted in 34 SSA countries between 2012 and 2023. The study included a total weighted sample of 69 218 children. Univariate analyses were performed to describe the socio-demographic profile of the participants and estimate the proportion of FV and the proportion for each of the eight vaccines (BCG, DTP1, DTP2, DPT3, Polio1, Polio2, Polio3, Measles1) at regional level. Bivariate and spatial analyses were produced to examine existing disparities at regional, subregional and countries' income levels. A multivariate logistic regression analysis was fitted for identifying country-level factors associated with FV. RESULTS: 54.1% (95% CI 53.7% to 54.5%) children aged 12-23 months in SSA were fully vaccinated. In addition, substantial inequalities emerged in FV coverage across countries ranging from 23.9% in Guinea to a high of 95.5% in Rwanda. The same pattern was observed for the eight vaccines. Findings also showed that children of birth order 3 and above, who were delivered at home, had received less than four antenatal visits, from poor households and households with more than 5 members, whose mothers were under 25, had primary education level and below, and had no income-generating activities were less likely to be fully vaccinated. CONCLUSION: To achieve WHO's global vaccination coverage target of 90% by 2030 in SSA, vaccination programmes must take account of regional, subregional and national inequities. Our findings also underline the need for interventions tailored to each SSA country's socio-cultural context. ETHICAL CONSIDERATION: Ethical approval was not required as this is a secondary analysis of publicly available data.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".