Geleta Nenko Dube
Dados Biográficos
| ID | 7782001 |
|---|---|
| NOME | Geleta Nenko Dube |
| PRENOMES | Geleta Nenko |
| SOBRENOME | Dube |
| ASSINATURA | DUBE G N |
| AFILIAÇÕES | Mattu University |
| ORCID | 0009-0003-1919-874X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Leveraging machine learning algorithm to predict minimum dietary diversity among children aged 6–23 months in Ethiopia
Lack of nutrient-rich food consumption is considered an important underlying factor affecting the healthy development of children, and can lead to developmental delays and various disorders. There is limited evidence on the predicators of dietary diversity. We aimed to train and test eight machine learning algorithms in the Ethiopian demographic and health survey (EDHS) from 2005–2019. We used secondary data from EDHS 2005, 2011, 2016 and 2019. A…
Birth preparedness and pregnancy complication readiness and associated factors among pregnant women in Ethiopia
Maternal and child deaths occur during pregnancy and delivery. Timely information on signs of pregnancy complications and ways to plan for normal birth is a strategy to reduce maternal and child deaths. The purpose of this study was to assess birth preparedness, and pregnancy complications readiness and identify associated factors in Ethiopia. A cross-sectional study design was used. A total of 1635 weighted samples of pregnant women were include…
Prevalence of postpartum post-traumatic stress disorder and associated factors among postnatal mothers in West Arsi zone, South West Ethiopia, 2024
As identified, one out of five mothers had postpartum posttraumatic stress disorder. Thus, healthcare providers should focus on identified factors like cesarean section and instrumental deliveries while counseling, as this enhances the mothers' psychological readiness. In addition, the West Arsi Zonal Health Office should develop effective strategies to alleviate the problem by focusing on the identified factors
Internet use, spatial variation and its determinants among reproductive age women in Ethiopia
Internet use among reproductive-age women in Ethiopia is 4.97 and has significant spatial variation across the country. Both community- and individual-level factors affect Internet use in Ethiopia. Therefore, educating women, improving access to media, encouraging women to use family planning, and supporting household wealth could improve women's Internet use
Sem obras proeminentes nesta página.
Birth preparedness and pregnancy complication readiness and associated factors among pregnant women in Ethiopia
Maternal and child deaths occur during pregnancy and delivery. Timely information on signs of pregnancy complications and ways to plan for normal birth is a strategy to reduce maternal and child deaths. The purpose of this study was to assess birth preparedness, and pregnancy complications readiness and identify associated factors in Ethiopia. A cross-sectional study design was used. A total of 1635 weighted samples of pregnant women were include…
Prevalence of postpartum post-traumatic stress disorder and associated factors among postnatal mothers in West Arsi zone, South West Ethiopia, 2024
As identified, one out of five mothers had postpartum posttraumatic stress disorder. Thus, healthcare providers should focus on identified factors like cesarean section and instrumental deliveries while counseling, as this enhances the mothers' psychological readiness. In addition, the West Arsi Zonal Health Office should develop effective strategies to alleviate the problem by focusing on the identified factors
Internet use, spatial variation and its determinants among reproductive age women in Ethiopia
Internet use among reproductive-age women in Ethiopia is 4.97 and has significant spatial variation across the country. Both community- and individual-level factors affect Internet use in Ethiopia. Therefore, educating women, improving access to media, encouraging women to use family planning, and supporting household wealth could improve women's Internet use
Leveraging machine learning algorithm to predict minimum dietary diversity among children aged 6–23 months in Ethiopia
Lack of nutrient-rich food consumption is considered an important underlying factor affecting the healthy development of children, and can lead to developmental delays and various disorders. There is limited evidence on the predicators of dietary diversity. We aimed to train and test eight machine learning algorithms in the Ethiopian demographic and health survey (EDHS) from 2005–2019. We used secondary data from EDHS 2005, 2011, 2016 and 2019. A…
Medicine (3 obras) · Pregnancy (3 obras) · Child Nutrition and Water Access (2 obras) · Demography (2 obras) · Demography (2 obras) · Logistic regression (2 obras) · Obstetrics (2 obras) · Public health (2 obras) · Biology (1 obra) · Biostatistics (1 obra)