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.

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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

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article

Insights into long-acting reversible contraceptive practices in Sub-Saharan Africa: A machine learning perspective

Meron Asmamaw Alemayehu, Sefefe Birhanu Tizie, Adugnaw Anteneh, Andualem Enyew Gedefaw et al.
PLoS ONE
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article

Insights into long-acting reversible contraceptive practices in Sub-Saharan Africa: A machine learning perspective

Meron Asmamaw Alemayehu, Sefefe Birhanu Tizie, Adugnaw Anteneh, Andualem Enyew Gedefaw, Kerebih Getinet, Abraham Keffale Mengistu, Mengistu Abebe Messelu
article en

Abstract

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.

PLoS ONEVol. 21(1)
Bahir Dar University (ET), University of Gondar (ET), Debre Markos University (ET)
World Health Organization, United Nations Population Fund
Openalex Percentile: Top 83%
Global Maternal and Child Health
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