Meron Asmamaw Alemayehu
Biographic Data
| ID | 7802900 |
|---|---|
| NAME | Meron Asmamaw Alemayehu |
| GIVEN NAMES | Meron Asmamaw |
| FAMILY NAME | Alemayehu |
| SIGNATURE | ALEMAYEHU M A |
| AFFILIATIONS | University of Gondar |
| ORCID | 0000-0002-1852-0771 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Intention to Catha edulis chewing cessation and associated factors among Catha edulis chewers of Bahir Dar University students, Northwest Ethiopia
Over 10 million people chew Catha edulis worldwide. Evidence shows that the prevalence of Catha edulis chewing in Ethiopian university students ranged from 6.7% to 56.8%. This study was designed to assess the Catha edulis chewing cessation intention and its associated factors among university students. An institution-based cross-sectional study, using trans theoretical model, was conducted from November 1–30, 2022, among 419 Catha edulis chewers …
Leveraging machine learning to identify determinants of zero utilization of maternal continuum of care in Ethiopia
Ensuring complete utilization of maternal continuum of care is essential for reducing maternal and neonatal mortality. In Ethiopia, significant gaps remain in maternal healthcare utilization, particularly among women who do not engage in any stage of the maternal care continuum. This study aims to identify the determinants of zero utilization in the maternal continuum of care among Ethiopian women using machine learning techniques, with insights …
Predicting malnutrition in PLWHIV using machine learning in gondar, Ethiopia
ML models offer a robust approach for predicting malnutrition risk in PLWHIV patients. The integration of these tools into routine care could enhance nutritional management, particularly in low-resource settings. Further studies are needed to confirm these findings and improve the deployment of the model in clinical settings
Spatial variation and determinants of inappropriate complementary feeding practice and its effect on the undernutrition of infants and young children aged 6 to 23 months in Ethiopia by using the Ethio…
Background: Inappropriate complementary feeding practices (IACFPs) are major public health issues in Ethiopia, which usually result in stunting and becoming an intergenerational cycle. However, the spatial patterns and determinants of IACFP and its effect on undernutrition are not well understood in Ethiopia. Therefore, the aim of this study was to explore the spatial patterns and determinants of IACFPs and their effects on the undernutrition of …
No prominent works on this page.
Spatial variation and determinants of inappropriate complementary feeding practice and its effect on the undernutrition of infants and young children aged 6 to 23 months in Ethiopia by using the Ethio…
Background: Inappropriate complementary feeding practices (IACFPs) are major public health issues in Ethiopia, which usually result in stunting and becoming an intergenerational cycle. However, the spatial patterns and determinants of IACFP and its effect on undernutrition are not well understood in Ethiopia. Therefore, the aim of this study was to explore the spatial patterns and determinants of IACFPs and their effects on the undernutrition of …
Intention to Catha edulis chewing cessation and associated factors among Catha edulis chewers of Bahir Dar University students, Northwest Ethiopia
Over 10 million people chew Catha edulis worldwide. Evidence shows that the prevalence of Catha edulis chewing in Ethiopian university students ranged from 6.7% to 56.8%. This study was designed to assess the Catha edulis chewing cessation intention and its associated factors among university students. An institution-based cross-sectional study, using trans theoretical model, was conducted from November 1–30, 2022, among 419 Catha edulis chewers …
Leveraging machine learning to identify determinants of zero utilization of maternal continuum of care in Ethiopia
Ensuring complete utilization of maternal continuum of care is essential for reducing maternal and neonatal mortality. In Ethiopia, significant gaps remain in maternal healthcare utilization, particularly among women who do not engage in any stage of the maternal care continuum. This study aims to identify the determinants of zero utilization in the maternal continuum of care among Ethiopian women using machine learning techniques, with insights …
Predicting malnutrition in PLWHIV using machine learning in gondar, Ethiopia
ML models offer a robust approach for predicting malnutrition risk in PLWHIV patients. The integration of these tools into routine care could enhance nutritional management, particularly in low-resource settings. Further studies are needed to confirm these findings and improve the deployment of the model in clinical settings
Child Nutrition and Water Access (3 works) · Demography (3 works) · Medicine (3 works) · Environmental health (2 works) · Global Maternal and Child Health (2 works) · Logistic regression (2 works) · Malnutrition (2 works) · Public health (2 works) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 works) · Artificial Intelligence (1 works)