Insights into long-acting reversible contraceptive practices in Sub-Saharan Africa: A machine learning perspective
The model's key predictors directly inform policy; we recommend: 1) Mobile clinics for young women in large households, targeting the two strongest negative predictors (young age and large household size), 2) Media campaigns tailored to educated populations, leveraging the significant interaction between education and media exposure, and 3) Adolescent-focused education on contraceptive timing, addressing the critical predictor of age at first use.
Authors
- Meron Asmamaw Alemayehu (ORCID: https://orcid.org/0000-0002-1852-0771)
- Sefefe Birhanu Tizie (ORCID: https://orcid.org/0000-0003-4527-5625)
- Adugnaw Anteneh
- Andualem Enyew Gedefaw
- Kerebih Getinet
- Abraham Keffale Mengistu
- Mengistu Abebe Messelu
Institutions
- Bahir Dar University (ET)
- University of Gondar (ET)
- Debre Markos University (ET)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1371/journal.pone.0330960
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- World Health Organization
- United Nations Population Fund