Predictors of Full Immunization Coverage: Logistic Regression Analysis

9.5 KB Excel file containing data for a multivariate logistic regression analysis on immunization coverage. Authored by Ahlam Tunteeya Saani and last updated in April 2026, the dataset likely contains variables used to identify factors influencing full vaccination rates. The small file size suggests a focused study with a limited number of records.

Use Cases

• Training logistic regression models to predict immunization status based on demographic and socioeconomic factors.
• Identifying key drivers of vaccination coverage for targeted public health interventions.
• Benchmarking predictive model performance for immunization outcomes.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a compact and likely focused dataset.

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Ahlam Tunteeya Saani via figshare

Freshness

Last updated 2026-04-15 17:33:57; freshness should be verified.