Predictive modeling and explainable AI in addressing disparities in adolescent vaccination uptake: Insights from the US national immunization survey-Teen
Adolescent vaccination coverage in the U.S. varies based on different influences, mainly geographic location and vaccine type. These findings underscore the urgent need to move beyond one-size-fits-all strategies and toward geographically-targeted, vaccine-specific public health campaigns that address the socioeconomic and demographic barriers identified in this study. By focusing on these key drivers, public health officials can better allocate resources to close critical vaccination gaps and protect adolescent health.
Authors
- Shafiul Haque (ORCID: https://orcid.org/0000-0002-2989-121X)
- Darin Mansor Mathkor (ORCID: https://orcid.org/0009-0007-2641-3160)
- Muhammad Sufyan (ORCID: https://orcid.org/0000-0003-0941-4632)
Institutions
- Government College University, Faisalabad (PK)
- Jazan University (SA)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110953
- Primary Topic
- Vaccine Coverage and Hesitancy
- Type
- article
- Field-Weighted Citation Impact
- 0.00