Fentahun Bikale Kebede

Datos Biográficos

ID7766870
NOMBREFentahun Bikale Kebede
NOMBRESFentahun Bikale
APELLIDOKebede
FIRMAKEBEDE F B
AFILIACIONESGovernment of Ethiopia
ORCID0000-0001-6350-7085
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0

  • Pooled prevalence and associated factors of overweight/obesity among under-five children in 46 low- and middle-income countries

    Open AccessDejen Kahsay Asgedom, Fentahun Bikale Kebede et al.ARTICLEPLOS Global Public Health2026

    Overweight and obesity remain major global public health challenges, particularly among children under five years of age in low- and middle-income countries (LMICs). This study aimed to assess the pooled prevalence of overweight/obesity and its associated factors among children aged 6–59 months in 46 LMICs. We used the most recent nationally representative demographic and health surveys (2015–2024) from forty-six LMICs. A total of 393,638 weighte…

  • Explainable machine learning for predicting childhood anemia in Sub-Saharan Africa using population-based DHS Data (2016–2024)

    Open AccessAndualem Enyew Gedefaw, Amanuel Worku et al.ARTICLEPLOS Global Public Health2026

    Childhood anemia remains a major public health challenge in Sub-Saharan Africa, adversely affecting physical growth, cognitive development, and child survival. The pooled prevalence across 26 countries exceeds 60%, underscoring the need for accurate and scalable prediction tools to support targeted interventions.This study used pooled Demographic and Health Survey (DHS) data (2016–2024) from 26 Sub-Saharan African countries, including 110,251 chi…

  • Exploring machine learning insights into long-acting reversible family planning usage in Ethiopia

    Open AccessAbraham Keffale Mengistu, Eshetie Derb et al.ARTICLEBMC Public Health2026

    Ethiopia faces challenges in Long-Acting Reversible Family Planning (LARFP) adoption despite its efficacy. Traditional statistical methods have a limited capacity to capture nonlinear determinants. This study leverages machine learning (ML) to identify predictors of LARFP use using the 2021–2023 Performance Monitoring for Action (PMA) Ethiopia dataset. Twenty-four predictors across geographic, socioeconomic, healthcare access, and behavioral doma…

  • Multilevel modelling of determinants of perinatal mortality in East Africa

    Open AccessBewuketu Terefe, Fentahun Bikale Kebede et al.ARTICLEBMC Public Health2025

    The study reveals several significant factors associated with perinatal mortality in East Africa. Factors such as women who gave birth before the age of 20, not married, mass media exposure, having more children, twin births, history of abortion, residing in rural areas, and in low-income countries were linked to higher odds of perinatal mortality, however, being older age, better education, better wealth, modern contraception, longer birth inter…

  • Regional and temporal variations in Covid-19 cases and deaths in Ethiopia

    Open AccessGizaw Teka, Adane Woldeab et al.ARTICLEPLOS Global Public Health2024

    Background The COVID-19 pandemic is one of the most devastating public health emergencies of international concern to have occurred in the past century. To ensure a safe, scalable, and sustainable response, it is imperative to understand the burden of disease, epidemiological trends, and responses to activities that have already been implemented. We aimed to analyze how COVID-19 tests, cases, and deaths varied by time and region in the general po…