Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fikrewold Bitew"'
Publikováno v:
Genus, Vol 75, Iss 1, Pp 1-13 (2019)
Abstract Ghana has long prioritized family planning as a key strategy for improving health and socioeconomic development. However, despite the heavy investments in the sector over the last decade, the family planning program has not successfully impr
Externí odkaz:
https://doaj.org/article/8732cc9632a2449ebff39dbf4b8f71ab
Autor:
Fikrewold Bitew, Samuel H. Nyarko
Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02295- (2019)
Objective: High under-five mortality has been identified as a major problem in many developing countries including Ethiopia. The main purpose of this study is to examine the effect of modern contraceptive use on under-five mortality in Ethiopia. Meth
Externí odkaz:
https://doaj.org/article/07ba3560c5d64bc3b0c9fd2b8b8d5a2b
Publikováno v:
Public Health Nutrition. :1-12
Objective: Child undernutrition is a global public health problem with serious implications. In this study, we estimate predictive algorithms for the determinants of childhood stunting by using various machine learning (ML) algorithms. Design: This s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82a8888959f483d7b8122cc213847de9
https://doi.org/10.1017/s1368980021004262
https://doi.org/10.1017/s1368980021004262
Publikováno v:
Spatial Demography. 10:193-207
Nutritional status is an important determinant of women’s health and wellbeing. However, there appears to be a dearth of information on the spatial distribution of undernutrition among women in Ghana over time. We, therefore, examined the spatial a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70c5d5af9ab54f5bf94424a5437204c0
https://doi.org/10.1007/s40980-020-00074-3
https://doi.org/10.1007/s40980-020-00074-3
Publikováno v:
Genus, Vol 76, Iss 1, Pp 1-16 (2020)
There is a dearth of literature on the use of machine learning models to predict important under-five mortality risks in Ethiopia. In this study, we showed spatial variations of under-five mortality and used machine learning models to predict its imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67e9b7d5e99ad6f9d06ce3d93849c879
http://link.springer.com/article/10.1186/s41118-020-00106-2
http://link.springer.com/article/10.1186/s41118-020-00106-2
Background There is a dearth of literature on predictive models estimating under-five mortality risk in Ethiopia. In this study, we develop a spatial map and predictive models to predict the sociodemographic determinants of under-five mortality in Et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a32de49c2bf77dbdc5c02a8bd91369a9
https://doi.org/10.21203/rs.2.13113/v3
https://doi.org/10.21203/rs.2.13113/v3
Publikováno v:
Genus, Vol 75, Iss 1, Pp 1-13 (2019)
Ghana has long prioritized family planning as a key strategy for improving health and socioeconomic development. However, despite the heavy investments in the sector over the last decade, the family planning program has not successfully improved the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff9f21f83fefb5ec1ac8a37783a0bea
https://doi.org/10.1186/s41118-019-0069-7
https://doi.org/10.1186/s41118-019-0069-7
Publikováno v:
African Population Studies. 33
Background: Women’s undernutrition is a major concern in many sub-Saharan African countries including Ethiopia; however, little information exists on its spatial and temporal variation within a single national context. This paper examines spatial a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0ddf7c41d6beb1dce13f443b239497
https://doi.org/10.11564/33-1-1364
https://doi.org/10.11564/33-1-1364