Molalign Aligaz Adisu
Biographic Data
| ID | 7782077 |
|---|---|
| NAME | Molalign Aligaz Adisu |
| GIVEN NAMES | Molalign Aligaz |
| FAMILY NAME | Adisu |
| SIGNATURE | ADISU M A |
| AFFILIATIONS | Woldia University |
| ORCID | 0009-0003-1685-983X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Paternal Engagement in Infant and Young Child Feeding
Optimal infant and young child feeding (IYCF) is a critical intervention during the first 1000 days of life, yet in Ethiopia, caregiving roles remain heavily gendered, often excluding fathers. This systematic review and meta-analysis quantified the extent of paternal engagement in IYCF across Ethiopia and identified key associated factors. Following PRISMA guidelines, a comprehensive search of major databases and gray literatures identified 11 cr…
An artificial neural network approach for predicting infant mortality status in Ethiopia
Infant mortality is a major public health issue that is rooted in the larger problem of socio-economic and healthcare disparities. Deep learning techniques were employed in this study to predict infant mortality using data gathered via 2019 Ethiopia Demographic and Health Survey (EDHS). An Artificial Neural Network (ANN) was applied in four layers (input, two hidden, and output), where ReLU and sigmoid activation functions were applied, and the o…
Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019
Background: Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades. Methods: We estim…
Second dose of measles-containing vaccine coverage and associated factors among children aged 24–36 months in Gondar city, Central Gondar, Northwest Ethiopia, 2023
Background Measles caused 207,000 deaths worldwide in 2019. Ethiopia ranks among the top 10 countries in the world with the highest number of measles cases. However, the coverage of the second dose of measles-containing vaccine (MCV2) remains low. To increase coverage, the government of Ethiopia launched a nationwide measles vaccination campaign. Despite this intervention, the coverage is still below target, and there is scarce information in the…
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Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019
Background: Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades. Methods: We estim…
Second dose of measles-containing vaccine coverage and associated factors among children aged 24–36 months in Gondar city, Central Gondar, Northwest Ethiopia, 2023
Background Measles caused 207,000 deaths worldwide in 2019. Ethiopia ranks among the top 10 countries in the world with the highest number of measles cases. However, the coverage of the second dose of measles-containing vaccine (MCV2) remains low. To increase coverage, the government of Ethiopia launched a nationwide measles vaccination campaign. Despite this intervention, the coverage is still below target, and there is scarce information in the…
An artificial neural network approach for predicting infant mortality status in Ethiopia
Infant mortality is a major public health issue that is rooted in the larger problem of socio-economic and healthcare disparities. Deep learning techniques were employed in this study to predict infant mortality using data gathered via 2019 Ethiopia Demographic and Health Survey (EDHS). An Artificial Neural Network (ANN) was applied in four layers (input, two hidden, and output), where ReLU and sigmoid activation functions were applied, and the o…
Paternal Engagement in Infant and Young Child Feeding
Optimal infant and young child feeding (IYCF) is a critical intervention during the first 1000 days of life, yet in Ethiopia, caregiving roles remain heavily gendered, often excluding fathers. This systematic review and meta-analysis quantified the extent of paternal engagement in IYCF across Ethiopia and identified key associated factors. Following PRISMA guidelines, a comprehensive search of major databases and gray literatures identified 11 cr…
Demography (2 works) · Global Maternal and Child Health (2 works) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work) · Biostatistics (1 work) · Birth rate (1 work) · Breastfeeding Practices and Influences (1 work) · Child development (1 work) · Child health (1 work) · Child Nutrition and Water Access (1 work)